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1. ADEOS-2 GLI 1Km Level 2 Cloud Optical Thickness of ice cloud by reflection method product [ADEOS2_GLI_1Km_L2_CLOP_i_r]
Cloud optical thickness calculated based on the level 1B data (_i_r: ice cloud reflectance).


2. ADEOS-2 GLI 1Km Level 2 Cloud flag product [ADEOS2_GLI_1Km_L2_CLFLG_p]
Cloud flag calculated based on the level 1B data.


3. ADEOS-2 GLI 1Km Level 2 Cloud fraction product [ADEOS2_GLI_1Km_L2_CLFR]
Cloud fraction calculated based on the level 1B data.


4. ADEOS-2 GLI 1Km Level 3 Binned Cloud Effective Particle Radius of water cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLER_w_r]
Temporarily and spatially sampled based on level 2 data of cloud equivalent grain size (_w_r : water cloud reflectance).


5. ADEOS-2 GLI 1Km Level 3 Binned Cloud Top Height of water cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLTT_w_r]
Temporarily and spatially sampled based on level 2 data of cloud top temperature (_w_r: water cloud reflectance).


6. ADEOS-2 GLI 1Km Level 3 STA Map Cloud Liquid Water Path of water cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLWP_w_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLWP_w_r stands for cloud top height ...


7. ADEOS-2 GLI 1Km Level 3 STA Map Cloud Optical Thickness of ice cloud by emission method product [ADEOS2_GLI_1Km_L3STA_Map_CLOP_i_e]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLOP_i_e stands for cloud optical ...


8. ADEOS-2 GLI 1Km Level 3 STA Map Cloud Top Temperature of water cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLHT_w_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLHT_w_r stands for cloud top height ...


9. ADEOS-2 GLI 1Km Level 3 STA Map Cloud fraction product [ADEOS2_GLI_1Km_L3STA_Map_CLFR]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLFR stands for cloud fraction.


10. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Effective Particle Radius of ice cloud by emission method product [ADEOS2_GLI_1Km_L2_CLER_i_e]
Cloud equivalent grain size calculated based on the level 1B data (_i_e: ice cloud emission).


11. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Effective Particle Radius of water cloud by reflection method product [ADEOS2_GLI_1Km_L2_CLER_w_r]
Cloud equivalent grain size calculated based on the level 1B data (_w_r: water cloud reflectance).


12. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Optical Thickness of ice cloud by emission method product [ADEOS2_GLI_1Km_L2_CLOP_i_e]
Cloud optical thickness calculated based on the level 1B data (_i_e: ice cloud emission).


13. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Optical Thickness of water cloud by reflection method product [ADEOS2_GLI_1Km_L2_CLOP_w_r]
Cloud optical thickness calculated based on the level 1B data (_w_r: water cloud reflectance).


14. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Top Height of water cloud by reflection method product [ADEOS2_GLI_1Km_L2_CLTT_w_r]
Cloud top temperature calculated based on the level 1B data (_w_r: water cloud reflectance).


15. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Top Temperature of ice cloud by emission method product [ADEOS2_GLI_1Km_L2_CLTT_i_e]
Cloud top temperature calculated based on the level 1B data (_i_e: ice cloud emission).


16. ADEOS-Ⅱ GLI 1Km Level 2 Cloud Top Temperature of water cloud by reflection method product [ADEOS2_GLI_1Km_L2_CLHT_w_r]
Cloud top height calculated based on the level 1B data (_w_r: water cloud reflectance).


17. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Effective Particle Radius of ice cloud by emission method product [ADEOS2_GLI_1Km_L3B_CLER_i_e]
Temporarily and spatially sampled based on level 2 data of cloud equivalent grain size (_i_e : ice cloud emission).


18. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Liquid Water Path of water cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLWP_w_r]
Temporarily and spatially sampled based on level 2 data of cloud and water volume (_w_r: water cloud reflectance).


19. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Optical Thickness of ice cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLOP_i_e]
Temporarily and spatially sampled based on level 2 data of cloud optical thickness (_i_e: ice cloud emission).


20. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Optical Thickness of ice cloud by reflection method product (_i_r: ice cloud reflectance) [ADEOS2_GLI_1Km_L3B_CLOP_i_r]
Temporarily and spatially sampled based on level 2 data of cloud optical thickness (_i_r: ice cloud reflectance).


21. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Optical Thickness of water cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLOP_w_r]
Temporarily and spatially sampled based on level 2 data of cloud optical thickness (_w_r: water cloud reflectance).


22. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Top Temperature of ice cloud by emission method product [ADEOS2_GLI_1Km_L3B_CLTT_i_e]
Temporarily and spatially sampled based on level 2 data of cloud top temperature (_i_e: ice cloud emission).


23. ADEOS-Ⅱ GLI 1Km Level 3 Binned Cloud Top Temperature of water cloud by reflection method product [ADEOS2_GLI_1Km_L3B_CLHT_w_r]
Temporarily and spatially sampled based on level 2 data of cloud top height (_w_r: water cloud reflectance).


24. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Optical Thickness of ice cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLOP_i_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLOP_i_r stands for cloud optical ...


25. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Top Temperature of ice cloud by emission method product [ADEOS2_GLI_1Km_L3STA_Map_CLTT_i_e]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLTT_i_e stands for cloud top temperature ...


26. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Effective Particle Radius of ice cloud by emission method product [ADEOS2_GLI_1Km_L3STA_Map_CLER_i_e]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLER_i_e stands for cloud equivalent ...


27. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Effective Particle Radius of water cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLER_w_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLER_w_r stands for cloud equivalent ...


28. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Optical Thickness of water cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLOP_w_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLOP_w_r stands for cloud optical ...


29. ADEOS-Ⅱ GLI 1Km Level 3 STA Map Cloud Top Height of water cloud by reflection method product [ADEOS2_GLI_1Km_L3STA_Map_CLTT_w_r]
The atmosphere, ocean and snow level 3 STA (statistics) MAPs are maps projected using estimated representative values for each type of data from Level 3 Binned. The CLTT_w_r stands for cloud top temperature ...


30. ASPECT - Antarctic sea ice thickness distribution from ship observations collected between 1980 - 2004 [ASPECT]   CHILD METADATA
Ship observations, collected over the period 1980 - 2004, will be used to determine the regional and seasonal variability of the Antarctic sea ice thickness distribution. The thickness of Antarctic ...


31. Akademic Fedorov (37th Russian Antarctic Expedition) May to June 1992 [ASPECT_AF050692]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: May 1992 to June ...


32. Cloudiness, long-term mean monthly values (IIASA) [63a8f458-da8b-461a-afa4-7166d1cdc817]
The IIASA Climate Database was created at the International Institute for Applied System Analyses (IIASA; Laxenburg, Austria) by Rik Leemans and Wolfgang P. Cramer to represent current global climate. ...


33. Earth Surface and Atmospheric Imagery from MOS-1-VTIR [NASDA-MOS-1-VTIR]
MOS-1 was launched on February 19, 1987 carrying the MESSR (Multi-spectrum Electronic Scanning Radiometer), VTIR (Visible and Thermal Infrared Radiometer) and MSR (Microwave Scanning Radiometer). ...


34. Effects of human activity on Gentoo penguins on Macquarie Island [pedestrian_gentoo]
This project empirically measures the effects of human activity on the behaviour and reproductive success of Gentoo penguins on Macquarie Island. This was achieved by 1) collecting behavioural responses ...


35. Effects of human activity on King penguins on Macquarie Island [pedestrian_king]
This project empirically measures the effects of human activity on the behaviour of King penguins on Macquarie Island, under ASAC project 1148. This was achieved by collecting behavioural responses ...


36. Fieldwork and sampling at Loewe Massif-Amery Oasis [ASAC_1071_Loewe]
At Loewe Massif and Amery Oasis, samples were taken; - for sediment analysis (XRF geochemistry and grain size) - for geochronology (cosmogenic isotope analysis). The custodian for these samples is ...


37. GMS Original VISSR and Processed VISSR data archived at the Meteorological Satellite Center (MSC), Japan Meteorological Agency (JMA) [GMS-VISSR-MSC-JWA]
GMS's VISSR data has been received and processed at the Meteorological Satellite Center (MSC), Japan Meteorological Agency (JMA). VISSR data has been stored on magnetic tapes until February 1987. ...


38. GMS Processed S-VISSR data archived at JMA [GMS-STRECHED_VISSR-JWA]
GMS's S-VISSR(Stretched VISSR) data has received and processed at the JWA on a real time basis since January 1993. S-VISSR data has been stored on 4mm DAT, every hour. During data processing, S-VISSR ...


39. Rotational temperature studies of the hydroxyl airglow layer above Davis, Antarctica. [Davis_OH_airglow]
These OH rotational temperature data are derived from spectra collected with a Czerny-Turner scanning grating spectrometer operating at Davis station (69S, 78E), Antarctica (see Greet et al., 1998; ...


40. Sea Ice Observations from Polarstern voyage ANT XVIII/3 [ASPECT_PN121200]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Germany Vessel: Polarstern Dates in ...


41. Sea Ice Observations from the Akademic Fedorov (33rd Russian Antarctic Expedition) [ASPECT_AF020388]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov ...


42. Sea Ice Observations from the Akademic Fedorov (34th Russian Antarctic Expedition) [ASPECT_AF020389]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov ...


43. Sea Ice Observations from the Akademic Fedorov (35th Russian Antarctic Expedition) [ASPECT_AF030390]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov ...


44. Sea Ice Observations from the Akademic Fedorov (36th Russian Antarctic Expedition) [ASPECT_AF120190]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia ...


45. Sea Ice Observations from the Akademic Fedorov (37th Russian Antarctic Expedition) January - February 1992 [ASPECT_AF010292]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 30 Jan 1992 - 27 ...


46. Sea Ice Observations from the Akademic Fedorov (37th Russian Antarctic Expedition) March-April 1992 [ASPECT_AF030492]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 08 Mar 1992 - 21 ...


47. Sea Ice Observations from the Akademic Fedorov (37th Russian Antarctic Expedition) November 1991 to January 1992 [ASPECT_AF110191]   PARENT METADATA
These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 18 Nov 1991 - 05 Jan 1992 Observers: Unknown Translation to ASPeCt format: Vladimir Smirnov ...


48. Sea Ice Observations from the Akademic Fedorov (38th Russian Antarctic Expedition) - January-February 1993 [ASPECT_AF010293]   PARENT METADATA
These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 06 Jan 1993 - 03 Feb 1993 Observers: Unknown Translation to ASPeCt data format: Vladimir ...


49. Sea Ice Observations from the Akademic Fedorov (38th Russian Antarctic Expedition) - March-April 1993 [ASPECT_AF030493]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 11 Mar 1993 - 21 ...


50. Sea Ice Observations from the Akademic Fedorov (39th Russian Antarctic Expedition) December 1993 to February 1994 [ASPECT_AF120293]   PARENT METADATA
These data describe pack ice characteristics in the Antarctic sea ice zone. These data are in the ASPeCt format. National program: Russia Vessel: Akademic Fedorov Dates in ice: 31 Dec 1993 - 13 ...


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