Result List
Get a list of Result objects. Results have a 1:1 mapping with Observations.
GET /api/v3/results/?format=api&offset=6000
{ "count": 11557, "next": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=6100", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/results/?format=api&limit=100&offset=5900", "results": [ { "ob_id": 24542, "uuid": "8e4d0f05d9eb4a84a03deece1ae812dd", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_02/EUFAR10_02-2010_199b_Santander", "numberOfFiles": 1188, "volume": 453407402372, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24543, "uuid": "66c3d2f8203449cbbef46b6d648c3f0d", "short_code": "ob", "title": "ARSF 2010_199b - EUFAR AIRES-CZM/EUFAR10_02 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the AIRES-CZM - Using AIRborne REmote Sensing for improved Coastal Zone Management (EUFAR10_02) project (flight reference: 2010_199b).\r\n\r\nData were collected over the Santander, Spain area." }, "onlineresource_set": [] }, { "ob_id": 24546, "uuid": "58f43f162cb54fc791585a8afb40e142", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_02/EUFAR10_02-2010_200_Santander", "numberOfFiles": 746, "volume": 272021526734, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24547, "uuid": "81c79c4f27d34ce78383aceaa27530c9", "short_code": "ob", "title": "ARSF 2010_200 - EUFAR AIRES-CZM/EUFAR10_02 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the AIRES-CZM - Using AIRborne REmote Sensing for improved Coastal Zone Management (EUFAR10_02) project (flight reference: 2010_200).\r\n\r\nData were collected over the Santander, Spain area." }, "onlineresource_set": [] }, { "ob_id": 24550, "uuid": "8bb4e0335a804ff9bd08c9d9e624a810", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_06/EUFAR10_06-2010_231a_Armsrace", "numberOfFiles": 551, "volume": 527908684617, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24551, "uuid": "f6dd7b66df5f4825b067c760ac9b0cea", "short_code": "ob", "title": "ARSF 2010_231a - EUFAR ARMSRACE/EUFAR10_06 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ARMSRACE - Archaeological and Relief Modeling of the Sárvíz valley for Reconstruction of Ancient Climate Events (EUFAR10_06) project (flight reference: 2010_231a).\r\n\r\nData were collected over the Sarviz Valley, Hungary area." }, "onlineresource_set": [] }, { "ob_id": 24555, "uuid": "2c42ce0e311244c8af354dceb38ac54a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_03/EUFAR10_03-2010_196_Lisbon/", "numberOfFiles": 3610, "volume": 540176678299, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24556, "uuid": "37cb1bc255494592971918286e8a2d2b", "short_code": "ob", "title": "ARSF 2010_196 - EUFAR A-NEW/EUFAR10_03 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the A.NEW - Airborne observations of Nonlinear Evolution of internal Waves generated by internal (tidal) beams (EUFAR10_03) project (flight reference: 2010_196).\r\n\r\nData were collected over the Lisbon, Portugal area." }, "onlineresource_set": [] }, { "ob_id": 24560, "uuid": "b9ffdc8bb31b4e1fbf970f2289595c06", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_03/EUFAR10_03-2010_197_Lisbon", "numberOfFiles": 4558, "volume": 806746129288, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24561, "uuid": "d2483ed13aa54ef1981b381b09cd7a8d", "short_code": "ob", "title": "ARSF 2010_197 - EUFAR A-NEW/EUFAR10_03 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the A.NEW - Airborne observations of Nonlinear Evolution of internal Waves generated by internal (tidal) beams (EUFAR10_03) project (flight reference: 2010_197).\r\n\r\nData were collected over the Lisbon, Portugal area." }, "onlineresource_set": [] }, { "ob_id": 24564, "uuid": "52e7d7d66f094ccd8fd39327a158ec38", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_07/EUFAR10_07-2010_234b_Summer_School_Geo_Site", "numberOfFiles": 754, "volume": 217040534872, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24565, "uuid": "f7df3a0869b94e728aa4dc39f8ca2d26", "short_code": "ob", "title": "ARSF 2010_234b - EUFAR ADDRESSS/EUFAR10_07 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ADDRESSS - ADvanced Digital REmote sensing in Ecology and earth Sciences Summer School (EUFAR10_07) and ADDRESSS - ADvanced Digital REmote sensing in Ecology and earth Sciences Summer School projects (flight reference: 2010_234b).\n\nData were collected over the Tihany, Hungary area.\n" }, "onlineresource_set": [] }, { "ob_id": 24569, "uuid": "6ce53136b7be4155955d9035539991fe", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_07/EUFAR10_07-2010_234d_Summer_School_Geo_Site", "numberOfFiles": 565, "volume": 159660716268, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24570, "uuid": "435ad4ddc6d447349589270060b07ab2", "short_code": "ob", "title": "ARSF 2010_234d - EUFAR ADDRESSS/EUFAR10_07 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ADDRESSS - ADvanced Digital REmote sensing in Ecology and earth Sciences Summer School (EUFAR10_07) (flight reference: 2010_234d).\r\n\r\nData were collected over the Tihany, Hungary area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24573, "uuid": "3201611c5a7740a4943cc65cbfa2881a", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2010/EUFAR10_08/EUFAR10_08-2010_301_ValCalHyp", "numberOfFiles": 1706, "volume": 366414827050, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24574, "uuid": "be2f4da7b19848e187b56bf78ab7d7bc", "short_code": "ob", "title": "ARSF 2010_301 - EUFAR VALCALHYP/EUFAR10_08 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Rollei Digital Camera, ARSF Specim AISA Eagle and ARSF Specim AISA Hawk instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ValCalHyp- Validation of the \"Smart Vicarious Calibration\" (SVC) method and the Quality Indicators Protocol of Hyperspectral Data (EUFAR10_08) project (flight reference: 2010_301).\r\n\r\nData were collected over the Toulouse, France area." }, "onlineresource_set": [] }, { "ob_id": 24577, "uuid": "ab78b29bf04c41b7b08ab9d582163f64", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_03/EUFAR11_03-2011_092_HYMEDECOS_erosion/", "numberOfFiles": 2506, "volume": 526569445314, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24578, "uuid": "b7a04f2e96464fa3997e01b4abddd55c", "short_code": "ob", "title": "ARSF 2011_092 - EUFAR HYMEDECOS-EROSION/EUFAR11_03 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HYMEDECOS-Erosion- HYperspectral monitoring of MEDiterranean ECOSystems: Soil erosion and water/suspended sediment transport monitoring and modelling in the Isábena catchment (NE Spain) (EUFAR11_03) project (flight reference: 2011_092).\r\n\r\nData were collected over the North East Spain area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24582, "uuid": "551a0ecfcf21493cafc3694c4bee7af9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_03/EUFAR11_03-2011_095_HYMEDECOS_erosion", "numberOfFiles": 32, "volume": 5571722927, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24583, "uuid": "7c11501b3aa94d4eab1841504e4c5646", "short_code": "ob", "title": "ARSF 2011_095 - EUFAR HYMEDECOS-EROSION/EUFAR11_03 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instrument onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HYMEDECOS-Erosion- HYperspectral monitoring of MEDiterranean ECOSystems: Soil erosion and water/suspended sediment transport monitoring and modelling in the Isábena catchment (NE Spain) (EUFAR11_03) project (flight reference: 2011_095).\r\n\r\nData were collected over the North East Spain area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24586, "uuid": "6dcfe7d12aed424eb6cbf183964bc615", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_04/EUFAR11_04-2011_097_HYMEDECOS-gradients", "numberOfFiles": 1610, "volume": 384826250582, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24587, "uuid": "ee52c35f235f401d8da28848084f2f2f", "short_code": "ob", "title": "ARSF 2011_097 - EUFAR HYMEDECOS-GRADIENTS/EUFAR11_04 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HyMedEcos-Gradients - Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation (EUFAR11_04) project (flight reference: 2011_097).\r\n\r\nData were collected over the Alentejo region, southern Portugal area." }, "onlineresource_set": [] }, { "ob_id": 24591, "uuid": "d9a0fd1250a14c8c9ccc7e1a5c733afa", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_07/EUFAR11_07-2011_220_Toledo", "numberOfFiles": 696, "volume": 230288867513, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24592, "uuid": "76e3b9f7d61d4357b7444233607e270c", "short_code": "ob", "title": "ARSF 2011_220 - EUFAR SEDMEDHY/EUFAR11_07 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Specim AISA Eagle, ARSF Specim AISA Hawk, ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the SEDMEDHY- Soil Erosion Detection within MEDiterranean agricultural areas using HYperspectral data (EUFAR11_07) project (flight reference: 2011_220).\r\n\r\nData were collected over the Toledo, Spain area." }, "onlineresource_set": [] }, { "ob_id": 24596, "uuid": "8ec5eebe0fdd4ebda7166a5877003edc", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_07/EUFAR11_07-2011_222_Toledo", "numberOfFiles": 973, "volume": 393148771923, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24597, "uuid": "2afff4a60459413caef57177f2eb7b95", "short_code": "ob", "title": "ARSF 2011_222 - EUFAR SEDMEDHY/EUFAR11_07 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Hawk and ARSF Specim AISA Eagle instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the SEDMEDHY- Soil Erosion Detection within MEDiterranean agricultural areas using HYperspectral data (EUFAR11_07) project (flight reference: 2011_222).\r\n\r\nData were collected over the Toledo, Spain area." }, "onlineresource_set": [] }, { "ob_id": 24600, "uuid": "c62667a5a08741a598d4cf0d294389c9", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_02/EUFAR11_02-2011_187_SVALBD_PGLACIAL", "numberOfFiles": 4210, "volume": 358721863017, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24601, "uuid": "965dc3424bd24c58b2f66aff57aac876", "short_code": "ob", "title": "ARSF 2011_187 - EUFAR SVALBD-PGLACIAL2/EUFAR11_02 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the SVALBD_PGLACIAL2- Influence of climate change on paraglacial and glacial landscape evolution in Svalbard (EUFAR11_02) project (flight reference: 2011_187).\r\n\r\nData were collected over the Ny-Alesund, Svalbard, Norway area." }, "onlineresource_set": [] }, { "ob_id": 24605, "uuid": "1465c2d09b79466f880680679d0bd64f", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2011/EUFAR11_06/EUFAR11_06-2011_098_DELNVADER/", "numberOfFiles": 5340, "volume": 1020195904340, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24606, "uuid": "9d24dc80e25d4912a01fd98b2dddd6c6", "short_code": "ob", "title": "ARSF 2011_098 - EUFAR DEINVADER/EUFAR11_06 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the DeInVader - Tracing the invasion of an exotic tree species in protected West-Mediterranean dune ecosystems (EUFAR11_06) project (flight reference: 2011_098).\r\n\r\nData were collected over the Southwest Portugal area." }, "onlineresource_set": [] }, { "ob_id": 24610, "uuid": "3356eaca025d483f882af7c5835bed08", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/EUFAR12_02/EUFAR12_02-2012_240a_North_Iceland", "numberOfFiles": 863, "volume": 199172375922, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24611, "uuid": "96d3dfecea96409781322479a7144636", "short_code": "ob", "title": "ARSF 2012_240a - EUFAR ICELAND_DEBRISFLOWS/EUFAR12_02 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ICELAND_DEBRISFLOWS- A Study of the Hazard and Geomorphic Change Caused by Debris Flows in Iceland (EUFAR12_02) project (flight reference: 2012_240a).\r\n\r\nData were collected over the Sugandafjorour and Skutulsfjorour in the Westfjords, Iceland area." }, "onlineresource_set": [] }, { "ob_id": 24615, "uuid": "259b941811514df495d7e9be0f74e9bf", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2012/EUFAR12_02/EUFAR12_02-2012_240b_North_Iceland", "numberOfFiles": 2433, "volume": 535141828930, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24616, "uuid": "d64f8597b3e04cceaebfad02ed20c729", "short_code": "ob", "title": "ARSF 2012_240b - EUFAR ICELAND_DEBRISFLOWS/EUFAR12_02 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR, ARSF Specim AISA Eagle, ARSF Specim AISA Hawk and ARSF Rollei Digital Camera instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ICELAND_DEBRISFLOWS- A Study of the Hazard and Geomorphic Change Caused by Debris Flows in Iceland (EUFAR12_02) project (flight reference: 2012_240b).\r\n\r\nData were collected over the Sugandafjorour and Skutulsfjorour in the Westfjords, Iceland area." }, "onlineresource_set": [] }, { "ob_id": 24619, "uuid": "3645f1448f53441f8cd0264bd627a465", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_68/EUFAR15_68-2015_270_Ain", "numberOfFiles": 4138, "volume": 373889183398, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24620, "uuid": "f3330dadae7b4cf7963632791f3e24ce", "short_code": "ob", "title": "ARSF 2015_270 - EUFAR HYMOSENS2/EUFAR15_68 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Rollei Digital Camera and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HYMOSENS2: rivers HYdroMOrphological characterization by high-resolution remote SENSing data (EUFAR15_68) project (flight reference: 2015_270).\r\n\r\nData were collected over the Ain, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24624, "uuid": "875890e756fc4bdb9097795463d3a593", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_68/EUFAR15_68-2015_272_Ain", "numberOfFiles": 6086, "volume": 855384194768, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24625, "uuid": "767aa51a545047a587995a2a6078337d", "short_code": "ob", "title": "ARSF 2015_272 - EUFAR HYMOSENS2/EUFAR15_68 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Rollei Digital Camera, ARSF AsiaFENIX hyperspectral imager and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HYMOSENS2: rivers HYdroMOrphological characterization by high-resolution remote SENSing data (EUFAR15_68) project (flight reference: 2015_272).\r\n\r\nData were collected over the Ain, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24628, "uuid": "d149383f23c54b378a7f0f3496fc4701", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_58/EUFAR15_58-2015_244b_Holuhraun", "numberOfFiles": 1528, "volume": 220496192611, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24629, "uuid": "e99d744614eb4edc8e1c100d0746ea34", "short_code": "ob", "title": "ARSF 2015_244b - EUFAR HOLUHRAUN_HAZ/EUFAR15_58 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Rollei Digital Camera, ARSF AsiaFENIX hyperspectral imager and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the HOLUHRAUN_HAZ- Assessing the hazard and testing our understanding of environmental and geophysical responses from emplacement of a large volume lava flow field (EUFAR15_58) project (flight reference: 2015_244b).\r\n\r\nData were collected over the Central Iceland area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24633, "uuid": "8acb61fca16d429d88864ff91f95fe76", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_58/EUFAR15_58-2015_247a_Holuhraun", "numberOfFiles": 977, "volume": 154820783158, "fileFormat": "Data are netCDF and ENVI Binary formatted. 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Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24660, "uuid": "78fec6aeb25d407fb5a8bc8723370545", "short_code": "ob", "title": "ARSF 2015_174 - EUFAR AHSPECT/EUFAR15_18 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR and ARSF AsiaFENIX hyperspectral imager instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the AHSPECT- Agriculture-Health-SPECTrometry (EUFAR15_18) project (flight reference: 2015_174).\r\n\r\nData were collected over the Toulouse, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24664, "uuid": "7e8a99b773b44961a523576d25752510", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_18/EUFAR15_18-2015_274_Toulouse", "numberOfFiles": 7958, "volume": 960973811466, "fileFormat": "Data are netCDF and ENVI Binary formatted. 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Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24669, "uuid": "6be1cb63a6c7416593829ec273f97b10", "short_code": "ob", "title": "ARSF 2015_175a - EUFAR ISOTHERM/EUFAR15_28 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF AsiaFENIX hyperspectral imager and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements (EUFAR15_28) project (flight reference: 2015_175a).\r\n\r\nData were collected over the Mont Blanc, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24673, "uuid": "6910d7d500c6430c93ed5e2ff02c0def", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_28/EUFAR15_28-2015_175b_Mont_Blanc", "numberOfFiles": 398, "volume": 122765903132, "fileFormat": "Data are netCDF and ENVI Binary formatted. 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Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24674, "uuid": "2fd4455f4c2d4bf5a067992fbf1e1aee", "short_code": "ob", "title": "ARSF 2015_175b - EUFAR ISOTHERM/EUFAR15_28 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF AsiaFENIX hyperspectral imager and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements (EUFAR15_28) project (flight reference: 2015_175b).\r\n\r\nData were collected over the Mont Blanc, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24677, "uuid": "00c999f8ab8c495b92ece2243be8d3fe", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_28/EUFAR15_28-2015_271a_Mont_Blanc", "numberOfFiles": 1359, "volume": 160609016492, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24678, "uuid": "8ae877e98d47461391fb48ae4ea856f7", "short_code": "ob", "title": "ARSF 2015_271a - EUFAR ISOTHERM/EUFAR15_28 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Rollei Digital Camera and ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements (EUFAR15_28) project (flight reference: 2015_271a).\r\n\r\nData were collected over the Mont Blanc, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24681, "uuid": "278d50679f074d2ca23623e5709067d7", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/arsf/2015/EUFAR15_28/EUFAR15_28-2015_271b_Mont_Blanc", "numberOfFiles": 696, "volume": 110272558387, "fileFormat": "Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24682, "uuid": "70c1e4b1fbf1407b8b745a3d5b239cfa", "short_code": "ob", "title": "ARSF 2015_271b - EUFAR ISOTHERM/EUFAR15_28 Flight: hyperspectral remote sensing measurements", "abstract": "Hyperspectral remote sensing measurements using the ARSF Rollei Digital Camera, ARSF Optech Airborne Laser Terrain Mapper 3033 LIDAR and ARSF AsiaFENIX hyperspectral imager instruments onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the ISOTHERM- Ice SnOw vegetation HypERspecTral Measurements (EUFAR15_28) project (flight reference: 2015_271b).\r\n\r\nData were collected over the Mont Blanc, France area.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24689, "uuid": "915d672ef43c483fab75a764b0d80ecc", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/fennec/data/leeds-aws-f", "numberOfFiles": 24, "volume": 231558526, "fileFormat": "The data comprise 22 NetCDF data files and 1 .pdf file which provides additional information about instrument issues. ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24688, "uuid": "819bdb021a644a9fb0b31704479523db", "short_code": "ob", "title": "Fennec automatic weather station (AWS) data from the Saharan Desert between 2011-2013", "abstract": "Data were collected under the NERC funded project - Fennec -The Saharan Climate System. The project was lead by the University of Oxford and involved the Universities of Leeds, Reading, Sussex and the UK Met Office. Fennec investigated the Saharan climate system and the role of dust aerosols, involving a unique surface and aircraft field campaign with the FAAM BAe-146.\r\n\r\nVarious meteorological variables were collected at 3 min 20 second intervals, between 2011 and 2013 at 8 Automatic Weather Stations. Parameters include: 1m pressure, 3 min 20 sec mean 2m windspeed (sonic and cup anemometers), number of windspeeds sampled, variance of windspeed in sample, skew of windspeed in sample, 2m relative humidity, 2 temperature, soil temperature (2 depths), ground flux, shortwave radiation up and down, longwave radiation up and down. \r\n\r\nSpecific station locations are stated both in the data files and the CEDA platform record. One station had to be moved after the first year, hence there are 9 station locations listed.\r\n\r\nDue to harsh environmental conditions a number of the AWS stopped operating after deployment. Additional information regarding instrument issues and missing data can be found in a PDF on the CEDA archive. \r\n\r\n\r\n" }, "onlineresource_set": [] }, { "ob_id": 24691, "uuid": "ae7ef947afcb4cf8aa75c4fe59f7044d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/proc-earth-model/data/other-metrics/v1.0", "numberOfFiles": 81, "volume": 43958560677, "fileFormat": "NetCDF4", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 19979, "uuid": "fde8e875d45346bcb533641f44531268", "short_code": "ob", "title": "Gridded global surface measurements of nitric ozone, nitrogen dioxide, carbon monoxide and isoprene metrics data (1980-2015) - version 1.0", "abstract": "This dataset represents a collation of surface measurements of nitric oxide (NO), nitrogen dioxide (NO2), carbon monoxide (CO) and isoprene (C5H8) from publicly available data sets (of hourly, daily and monthly resolutions), for the aim of improved evaluation of surface ozone in global atmospheric chemistry models.\r\n\r\nMeasurements begin in 1980 running through to 2015. The data comes in a range of formats, with a plethora of associated data quality issues, requiring substantial cleaning before being able to be utilised for model assessment. 1,033,463,750 measurements from 16,996 sites are processed through numerous data quality checks, resulting in 76,413,458 observations from 1607 sites of appropriate quality (with the majority of excluded observations due to urban influence). Observations are heavily weighted towards North America and Europe, with generally sparse coverage over the rest of the globe (with the exception of CO). See documentation for more details. \r\n\r\nData is provided as multiple globally gridded output files, each consisting of a series of metrics designed to reflect the distributions of the observed ozone precursor species, allowing fair and easy comparison with global models. Metrics include the moments of the distribution (i.e. mean, temporal standard deviation, skewness and kurtosis) and percentiles. A total of 80 different netCDF-4 files are produced, with metrics calculated in multiple temporal (monthly and annual) and spatial configurations (8 different resolutions), for each different species. \r\n\r\nThe format of the output netCDF-4 files is designed to be consistent with the related dataset which compiled surface ozone observations (v2.7)." }, "onlineresource_set": [] }, { "ob_id": 24696, "uuid": "7b521a58a7e4435aa5097e7443206b5d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/gravimetric_mass_balance/gridded/v1.1", "numberOfFiles": 4, "volume": 34486436, "fileFormat": "Data are provided in netCDF, Ascii and GeoTiff formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 19879, "uuid": "2d0422ea3c4047d5829d5fbdabe0c156", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Gravimetric Mass Balance Gridded product, v1.1", "abstract": "This dataset provides gridded Gravimetric Mass Balance data for the Antarctic Ice Sheet. It has been produced in the framework of the Antarctic Ice Sheets Climate Change Initiative (CCI) project, under the lead of TU Dresden. \r\n\r\nThe ice sheet mass balance, i.e. the change in ice mass over time, is determined using the US-German satellite gravimetry mission GRACE (Gravity Recovery and Climate Experiment). The Antarctic Ice Sheet CCI GMB products are based on the monthly GRACE solutions ITSG-Grace2016 by Technische Universität Graz, and comprises a time series of mass change grids covering the entire ice sheet (GMB Gridded product), along side mass change time series for different drainage basins (GMB Basin Product). \r\n\r\nThe dataset described here covers version 1.1 of the Gridded product. Time series of gridded mass changes are provided in a polar-stereographic projection (EPSG:3031) with a grid resolution of 50 km x 50 km. The gridded changes are given in millimetre of equivalent water height (mm w.eq., or kg/m2). \r\n\r\nIf publishing results based on this dataset, please cite the following: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065\r\n\r\nInteractive data visualisation is available at: https://data1.geo.tu-dresden.de/ais_gmb/" }, "onlineresource_set": [] }, { "ob_id": 24697, "uuid": "2edae3a28c63428dba1701c7972a9324", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/gravimetric_mass_balance/basin/v1.1", "numberOfFiles": 3, "volume": 114055, "fileFormat": "Data are ASCII formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24695, "uuid": "200ff3bf37d744a48b48cb2e3565cace", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Gravimetric Mass Balance Basin products, v1.1", "abstract": "This dataset provides Gravimetric Mass Balance Basin data for the Antarctic Ice Sheet. It has been produced in the framework of the Antarctic Ice Sheets Climate Change Initiative (CCI) project, under the lead of TU Dresden. \r\n\r\nThe ice sheet mass balance, i.e. the change in ice mass over time, is determined using the US-German satellite gravimetry mission GRACE (Gravity Recovery and Climate Experiment). The Antarctic Ice Sheet CCI GMB products are based on the monthly GRACE solutions ITSG-Grace2016 by Technische Universität Graz, and comprises a time series of mass change grids covering the entire ice sheet (GMB Gridded product), along side mass change time series for different drainage basins (GMB Basin Product). \r\n\r\nThe dataset described here covers version 1.1 of the Basin product. Mass change time series are provided for a number of drainage basins. They describe the evolution of ice mass relative to a modelled reference value, defined to be the GRACE-derived mass as of 2009-01-01. Respective time series are also derived for the total areas of the West Antarctic Ice Sheet, the East Antarctic Ice Sheet, the Antarctic Peninsula and the Antarctic Ice Sheet as a whole.\r\n\r\nIf publishing results based on this dataset, please cite the following: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065.\r\n\r\nInteractive data visualisation is available at: https://data1.geo.tu-dresden.de/ais_gmb/" }, "onlineresource_set": [] }, { "ob_id": 24698, "uuid": "2fc9ba3ed45f4bb49cc2e481b2491493", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/ice_velocity/pine_island_glacier/v1.0/", "numberOfFiles": 82, "volume": 6996438067, "fileFormat": "GeoTIFF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24694, "uuid": "5fef473b97cf47f6a5b410f7acf2dbbe", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Ice velocity time series for Pine Island Glacier, Antarctica, 2014-2016, v1.0", "abstract": "This dataset constists of an ice velocity time series for Pine Island Glacier, Antarctica, derived from Copernicus Sentinel-1 satellite data acquired from 2014 to 2016. It has been produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project.\r\n\r\nThe data format is 3-layer GeoTiff: the first two layers represent the horizontal displacement component easting and northing respectively in output map coordinates and converted to meters per day [m/d]. The third layer represents the vertical velocity and is derived from the height difference along the displacement vector taken from a Digital Elevation Model (DEM).\r\n\r\nThe method employed to produce this dataset was presented in: Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., Potin, P. (2015). The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations. Remote Sensing, 2015, 7, 9371-9389, doi:10.3390/rs70709371." }, "onlineresource_set": [] }, { "ob_id": 24704, "uuid": "db6572ed96f6444884cd4797244d137e", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/nceo_biomass_maps/data/AGB-MEX/", "numberOfFiles": 4, "volume": 465851218, "fileFormat": "GeoTiff, 16 Bit", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24701, "uuid": "e5fb0e74b8104302a43e8a24dc45e038", "short_code": "ob", "title": "AGB-MEX Forrest BIOMASS map for Mexico V1.0", "abstract": "Ground data from the National Forest and Soil Inventory of Mexico (INFyS) were used to calibrate a maximum entropy (MaxEnt) algorithm to generate forest biomass (AGB), its associated uncertainty, and forest probability maps. The input predictor layers for the MaxEnt algorithm were extracted from the moderate resolution imaging spectrometer (MODIS) vegetation index (VI) products, ALOS PALSAR L-band dual-polarization backscatter coefficient images, and the Shuttle Radar Topography Mission (SRTM) digital elevation model. A Jackknife analysis of the model accuracy indicated that the ALOS PALSAR layers have the highest relative contribution (50.9%) to the estimation of AGB, followed by MODIS-VI (32.9%) and SRTM (16.2%). The forest cover mask derived from the forest probability map showed higher accuracy (κ = 0.83) than alternative masks derived from ALOS PALSAR (κ = 0.72–0.78) or MODIS vegetation continuous fields (VCF) with a 10% tree cover threshold (κ = 0.66). The use of different forest cover masks yielded differences of about 30 million ha in forest cover extent and 0.45 Gt C in total carbon stocks. The AGB map showed a root mean square error (RMSE) of 17.3 t C ha− 1 and R2 = 0.31 when validated at the 250 m pixel scale with inventory plots. The error and accuracy at municipality and state levels were RMSE = ± 4.4 t C ha− 1, R2 = 0.75 and RMSE = ± 2.1 t C ha− 1, R2 = 0.94 respectively. We estimate the total carbon stored in the aboveground live biomass of forests of Mexico to be 1.69 Gt C ± 1% (mean carbon density of 21.8 t C ha− 1), which agrees with the total carbon estimated by FAO for the FRA 2010 (1.68 Gt C). The new map, derived directly from the biomass estimates of the national inventory, proved to have similar accuracy as existing forest biomass maps of Mexico, but is more representative of the shape of the probability distribution function of AGB in the national forest inventory data. Our results suggest that the use of a non-parametric maximum entropy model trained with forest inventory plots, even at the sub-pixel size, can provide accurate spatial maps for national or regional REDD + applications and MRV systems." }, "onlineresource_set": [] }, { "ob_id": 24705, "uuid": "3e19e73a5fd248f9bb58abc18a123f7b", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/weather_at_home/data/1314Floods", "numberOfFiles": 696000, "volume": 26000000000000, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 24709, "uuid": "17711a8f44704ffe86d110d9d211fd36", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/weather_at_home/data/1314Floods", "numberOfFiles": 696639, "volume": 26019856107221, "fileFormat": "Data are netCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24710, "uuid": "8c03f651457f458eaf7b16f68670a0b8", "short_code": "ob", "title": "Ensemble of Global and EU Regional climate simulations from the HadAM3P-RM3P model for Winter 2013/14", "abstract": "Large data sets used to study the impact of anthropogenic climate change on the 2013/14 floods in the UK are provided. Data consists of perturbed initial conditions simulations using the Weather@Home regional climate modelling framework. Two different base conditions, Actual, including atmospheric conditions (anthropogenic greenhouse gases and human induced aerosols) as at present and Natural, with these forcings all removed are available. The data set is made up of 13 different ensembles (2 actual and 11 natural) with each having more than 7500 members. The data is available as NetCDF V3 files with their content representing an individual month of simulation. Data within that includes diagnostics written at daily, weekly and monthly within the period of interest (1st Dec 2013 to 15th February 2014) for both a specified European region at a 50km horizontal resolution and globally at N96 resolution. The data were generated in support of the European FP7 project - EUropean CLimate and weather Events: Interpretation and Attribution (EUCLEIA). Full details are available within Sparrow et al 2017, Nature Scientific Data.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24713, "uuid": "bee61921829f46a4a850ba41bfcc434e", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v03.2", "numberOfFiles": 8916, "volume": 6252401874, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24712, "uuid": "c657ee46354d480b8cf668addf0b43f2", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Active' Product, Version 03.2", "abstract": "The Soil Moisture CCI 'Active' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. 'Passive' and 'Combined' products have also been created. The 'Passive' product is a fusion of radiometer data acquired by the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2,. and SMOS satellite instruments. The 'Combined Product' is then a blended product based on the former two data sets.\r\n\r\nThe v03.2 Active product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It covers the period 1991-08-05 to 2015-12-31 and is expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, "onlineresource_set": [] }, { "ob_id": 24719, "uuid": "f4ddd2bfbfa3483688245528b904ec40", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/faam/data/2017/b992-jan-19", "numberOfFiles": 29, "volume": 864345829, "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. 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These footprints are created by model runs in which thousands of particles are released from the chosen location and are tracked backwards in time." }, "onlineresource_set": [ 23398 ] }, { "ob_id": 24812, "uuid": "e7225d5c09ef4082836001e1e2fc8d7b", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Ferrigno_PineIS_Thwaites_Smith_Pope_Kohler/v2.0/", "numberOfFiles": 1, "volume": 1128, "fileFormat": "ESRI shapefile, KML and WKT in textfile (CSV)", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24811, "uuid": "95809f64ed7f41329cadae3f41906b55", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Ferringo, Pine Island, Thwaites, Smith, Kohler and Pope Glaciers, Antarctica, 1995-2017, v2.0", "abstract": "Grounding line locations (GLL) data for the Ferringo, Pine Island, Thwaites, Smith, Kohler and Pope Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. 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The grounding lines have been derived from satellite observations from the ERS-1/2 instruments, acquired in the period from 1996-2017." }, "onlineresource_set": [] }, { "ob_id": 24816, "uuid": "a1e8105452bd4849ba5ec4bed4efaa35", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Sulzberger/v2.0/", "numberOfFiles": 1, "volume": 1082, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24815, "uuid": "e30780b57ccd42e085206c6279018e68", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Sulzberger Glacier, Antarctica, 1996/2016, v2.0", "abstract": "Grounding line locations (GLL) data for the Sulzberger Glacier in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. 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The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired in 1996/2015." }, "onlineresource_set": [] }, { "ob_id": 24821, "uuid": "931b07996d9944f887fb9a3a38231716", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Drygalski_Cook_Ninnis_Mertz/v1.0/", "numberOfFiles": 1, "volume": 1108, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24820, "uuid": "01611ae0ee0f40599a719401f5f9ef37", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Drygalski, Cook, Ninnis and Mertz Glaciers, Antarctica, 1996 - 2017, v1.0", "abstract": "Grounding line locations (GLL) data for the Drygalski, Cook, Ninnis and Mertz Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired betwee 1996 and 2017." }, "onlineresource_set": [] }, { "ob_id": 24823, "uuid": "2389602fe6d14d0a863cc74aa8f8b83f", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Evans_Rutford/v1.0/", "numberOfFiles": 1, "volume": 1092, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24822, "uuid": "58c649df4b5d4bd0bce923a6b7add58f", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Evans and Rutford Glaciers, Antarctica, 1995 - 2016, v1.0", "abstract": "Grounding line locations (GLL) data for the Evans and Rutford Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired between 1995 and 2016." }, "onlineresource_set": [] }, { "ob_id": 24825, "uuid": "94a4f966d7b54042aa130fbeea99798d", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Fleming_Larsen/v1.0/", "numberOfFiles": 1, "volume": 1093, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24824, "uuid": "dc9703294c034ac58ba67c2e404087d3", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Fleming and Larsen Glaciers, Antarctica, 1995 - 2016, v1.0", "abstract": "Grounding line locations (GLL) data for the Fleming and Larsen Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired between 1995 and 2016." }, "onlineresource_set": [] }, { "ob_id": 24827, "uuid": "b06214db8e1c41aaa752db854c683926", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Jutulstraumen-Nivlisen-Belgium/v1.0/", "numberOfFiles": 1, "volume": 1108, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24826, "uuid": "8eca7c6aa50a465c96a7e201ca1b0ad0", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Jutulstraumen, Nivlisen & Belgium Glaciers, Antarctica, 1994 - 2016, v1.0", "abstract": "Grounding line locations (GLL) data for the Jutulstraumen, Nivlisen and Belgium Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2, TerraSAR-X and Copernicus Sentinel-1 instruments, acquired between 1994 and 2016." }, "onlineresource_set": [] }, { "ob_id": 24829, "uuid": "c14ed08253fe4453b22f616f61d3dfd2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Lambert_WestIS/v1.0/", "numberOfFiles": 1, "volume": 1101, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24828, "uuid": "4ad3de5ef1a745619005a337dec61cd0", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Lambert and West Ice Shelf Glaciers, Antarctica, 1996 - 2016, v1.0", "abstract": "Grounding line locations (GLL) data for the Lambert and West Ice Shelf Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired between 1996 and 2016." }, "onlineresource_set": [] }, { "ob_id": 24831, "uuid": "d89033fcbead4b5eb073ec56b4dc1b6c", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Ross_Byrd/v1.0/", "numberOfFiles": 1, "volume": 1087, "fileFormat": "ESRI shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24830, "uuid": "89edec95d783404b9868729caa909401", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Ross and Byrd Glaciers, Antarctica, 2011- 2017, v1.0", "abstract": "Grounding line locations (GLL) data for the Ross and Byrd Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from theTerraSAR-X platform, acquired between 2011 and 2017." }, "onlineresource_set": [] }, { "ob_id": 24833, "uuid": "212870315dde458da0155f7b80519fa3", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/ice_sheets_antarctica/data/grounding_line_locations/Slessor/v1.0/", "numberOfFiles": 1, "volume": 1079, "fileFormat": "ESRI Shapefile", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24832, "uuid": "2b8283fb282f4488b384b18ef9cb4538", "short_code": "ob", "title": "ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Grounding Line Locations for the Slessor Glacier, Antarctica, 1995-2016, v1.0", "abstract": "Grounding line locations (GLL) data for the Slessor Glacier in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2, TerraSAR-X and Copernicus Sentinel-1 platforms, acquired between 1995 and 2016." }, "onlineresource_set": [] }, { "ob_id": 24838, "uuid": "d5f849a58ccb4409b7cf06744adc5823", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v03.2/", "numberOfFiles": 13576, "volume": 9020597925, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24714, "uuid": "71e20f6a7d6e4ec392f9afcbce14eced", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Passive' Product, Version 03.2", "abstract": "The Soil Moisture CCI 'Passive' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by fusing radiometer soil moisture products, merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. 'Active' and 'Combined' products have also been created, the 'Active' product being a fusion of AMI-WS and ASCAT derived scatterometer products and the 'Combined Product' being a blended product based on the former two data sets. \r\n\r\nThe v03.2 Passive product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2015-12-31. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, "onlineresource_set": [] }, { "ob_id": 24839, "uuid": "d06ce8dc7ac9455f8c8e0a92a01d42f5", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v03.2/", "numberOfFiles": 13576, "volume": 11470843238, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24715, "uuid": "7c7a38b2d2ce448b99194bff85a85248", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): 'Combined' Product, Version 03.2", "abstract": "The Soil Moisture CCI 'Combined' dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging the \"Active\" and \"Passive\" datasets which were created for the project, these being respectively fusions of scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satelllite instruments. \r\n\r\nThe product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2015-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document version 2.0 or the paper by Wagner 2012, both available in the documentation section. An overview of all known errors associated with it is provided in the Comprehensive Error Characterization Report. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, "onlineresource_set": [] }, { "ob_id": 24842, "uuid": "a78245400164482eacc4850da274bca2", "short_code": "result", "curationCategory": "", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v03.2/", "numberOfFiles": 6, "volume": 1630198, "fileFormat": "Data are in NetCDF format", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24841, "uuid": "c4f117ba38544e8a80338b6cf1000a91", "short_code": "ob", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the \"Active\", \"Passive\" and \"Combined\" products, Version 03.2", "abstract": "These ancillary datasets were used in the production of the \"Active\", \"Passive\" and \"Combined\" soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v03.2 Soil Moisture CCI data.\r\n\r\nThe \"Active\" \"Passive\" and \"Combined\" soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014" }, "onlineresource_set": [] }, { "ob_id": 24913, "uuid": "09365f7185a04405b233d5e5c7ead3c9", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/peru-peatlands/data/abn-fluxes", "numberOfFiles": 7, "volume": 161215, "fileFormat": "CSV ", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24807, "uuid": "a3614fb00ff74999a5187d3a3767d96d", "short_code": "ob", "title": "Soil-atmosphere flux measurements calculated from concentration of methane and nitrous oxide taken from the Pastaza-Marañón foreland basin, Peru", "abstract": "The research team collected data on soil-atmosphere exchange of trace gases and environmental variables during four field campaigns (two wet seasons, two dry seasons) the lowland tropical peatland forests of the Pastaza-Marañón foreland basin in Peru. The campaigns took place over a 27 month period, extending from February 2012 to May 2014. \r\n\r\nThis dataset contains measurements from field sampling of soil-atmosphere fluxes concentrated on 4 dominant vegetation types in the lowland tropical peatland forests of the Pastaza-Marañón foreland basin. Vegetation types included; forested vegetation, forested [short pole] vegetation, Mauritia flexuosa-dominated palm swamp, and mixed palm swamp. They were measured at 5 different sites in Peru including; Buena Vista, Miraflores, San Jorge, Quistococha, and Charo. \r\n\r\nGreenhouse gas (GHG) fluxes were captured from both floodplain systems and nutrient-poor bogs in order to account for underlying differences in biogeochemistry that may arise from variations in hydrology.\r\n\r\nParameters include methane and nitrous oxide fluxes, air/soil temperatures, soil pH, soil electrical conductivity, soil dissolved oxygen content, and water table depth. \r\n\r\nSee documentation and data lineage for data quality. \r\n\r\nThese data were collected in support of the NERC project: Amazonian peatlands - A potentially important but poorly characterised source of atmospheric methane and nitrous oxide (NE/I015469/2)" }, "onlineresource_set": [] }, { "ob_id": 24915, "uuid": "c538579eb08d43c48d722f4830ded85c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/poles-apart/data", "numberOfFiles": 359, "volume": 273217365050, "fileFormat": "The data are NetCDF formatted.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24914, "uuid": "acf1f55cd92a41fa9a97949b2066ad07", "short_code": "ob", "title": "Poles Apart: Why has Antarctic sea ice increased and why don't coupled climate models reproduce observations, climate model data", "abstract": "Data produced in support of the NERC project Poles Apart (2014 - 2017) that investigated the atmospheric drivers of changes in surface wind forcing using the UK Chemistry and Aerosols (UKCA) model. \r\n\r\nTen HadGEM3 model simulations were undertaken. Monthly model data was taken from the final 30 years of each simulation and a number of variables of interest, e.g. temperature and precipitation were extracted and analysed. \r\n\r\nThe temporal range for the perturbed simulations is 1980-2013, and the control simulations are valid between 1841-1900.\r\n\r\nSee the detailed experiment documentation for the Unified Model experiment ids and their corresponding description (these have been used to organise the data)." }, "onlineresource_set": [] }, { "ob_id": 24919, "uuid": "7250950a5b2441df9da8e34e8ae28d80", "short_code": "result", "curationCategory": "A", "dataPath": "/neodc/mipas_clouds/data/v1.0", "numberOfFiles": 2268, "volume": 8219481926, "fileFormat": "NetCDF", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24920, "uuid": "717a3fd92989493aae6f4982fd5fca6c", "short_code": "ob", "title": "Cloud Index retrievals from MIPAS ENVISAT L1B using MIPclouds algorithm", "abstract": "This data set contains retrievals from Michelson Interferometer for Passive Atmospheric Sounding on Envisat (MIPAS-ENVISAT) cloud and aerosol and contains information on derived cloud-top height (km), cloud-top temperature (K), cloud extinction (cm-1), with uncertainties. It also includes the measured radiance in the three cloud microwindow bands (832.0-834.4 cm-1, 1232.3-1234.4 cm-1, 1973.0-1983.0 cm-1), with noise equivalent spectral radiance values. Cloud index values are also included which can be used to distinguish different clouds types based on the index value." }, "onlineresource_set": [] }, { "ob_id": 24921, "uuid": "b00e408db1d44e56b1b77fe70174717a", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/tempest/data", "numberOfFiles": 4, "volume": 10014654, "fileFormat": "These data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24837, "uuid": "d2cfd2af036b4d788d8eddf8ddf86707", "short_code": "ob", "title": "Extreme weather in the UK: past, present and future - event details from the TEMPEST database", "abstract": "TEMPEST (Tracking Extremes of Meteorological Phenomena Experienced in Space and Time) is the major output of the Arts and Humanities Research Council (AHRC) funded project “Spaces of Experience and Horizons of Expectation: Extreme Weather in the UK, Past, Present and Future (which ran from 2013-2017)\". \r\n\r\nTEMPEST was designed as a freely accessible and user-friendly database resource on the UK’s weather and climate history. TEMPEST is comprised of narrative accounts of extreme weather events of all types, extracted from documentary materials located in a range of archival repositories in the UK (consequentially, please see the quality statement note below concerning data issues). The information has been extracted from a wide range of documents, including letters, diaries, church records, school log-books and many others. The entries span more than 400 years - some as early as 1346 - of weather history and relate to places across the UK, though the data search was focused in five case-study regions: Central England, Southwest England, East Anglia, Wales, and Northwest Scotland. \r\n\r\nEach event entry or narrative has been assigned to at least one weather type, is dated (at least to a year), and is geographically referenced (using digital coordinates). Many also contain material relating to the impacts of the weather event and responses to it. In addition to information on extreme weather events, TEMPEST contains details of the original documents, their authors, and the collections and repositories in which they are held. TEMPEST is searchable by all of these fields.\r\n\r\nUsers are advised to read the quality statement carefully with regards to possible issues in date and location accuracy and the way \"extreme\" events were documented. Additionally, users should be aware that the period covered by the dataset includes the change from the Julian to Gregorian calendar. In order to manage that change 11 days were omitted from the year 1752, i.e. the day after the 2 September 1752 was 14 September, in accordance with the Calendar Act of 1751. Until September 1752 the New Year began on 25 March (Lady Day) but dual dating was commonplace for many years before, adding a further layer of complication to events that took place from 1 January to 24 March, and making 1751 a short year running from 25 March to 31 December! Scotland had changed the start of the year to 1 January in 1600. Where clear, the Gregorian calendar date has been used, providing further details in the notes section." }, "onlineresource_set": [] }, { "ob_id": 24925, "uuid": "411acdcbcb174dd0b1667048e8ef0dfb", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-assim/data/standard/2017", "numberOfFiles": 0, "volume": 0, "fileFormat": "The data are provided in both pp and NetCDF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 24930, "uuid": "0ffd4ced9a2a431f99f6e574c99c68de", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/ukmo-assim/data/standard/", "numberOfFiles": 0, "volume": 0, "fileFormat": "The data are provided in both pp and NetCDF formats", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": null, "onlineresource_set": [] }, { "ob_id": 24944, "uuid": "2d50ae08387d4e3aac46162b598c480d", "short_code": "result", "curationCategory": "", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadCRUT4/HadCRUT-4-5-0-0/", "numberOfFiles": 109, "volume": 1116559425, "fileFormat": "The data are NetCDF formatted and adhere to v1.6 of the CF conventions.", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24943, "uuid": "22a878b3ada24590970974588642f585", "short_code": "ob", "title": "HadCRUT4: gridded dataset of global historical surface temperature anomalies, version 4.5.0.0", "abstract": "This is the HadCRUT.4.5.0.0 version of the HadCRUT4 data. \r\n\r\nData are available for each month since January 1850, on a 5 degree grid. \r\nThe gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record. \r\n\r\nThe data consist of 100 ensemble members and the ensemble median, each are available as a separate file where the fourth component of the filename denotes the ensemble member or median. In addition, the variance information is provided under the name uncorrelated. Full error covariance data are available from the Met Office (see the link to the HadCRUT4 homepage in Docs) \r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following paper (see Docs for link to the publication) and this dataset (using the \"citable as\" reference) :\r\n\r\nMorice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187" }, "onlineresource_set": [] }, { "ob_id": 24946, "uuid": "b37433e08b9e44afa0c95094883eead5", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/cims_at_weybourne/data", "numberOfFiles": 3, "volume": 2244858, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24947, "uuid": "8b965a24e74e46dcadb63611327f1e29", "short_code": "ob", "title": "Measurements of N2O5, ClNO2, HCOOH, HNO3 and HCN at the Weybourne Atmospheric Observatory", "abstract": "Chemical ionisation mass spectrometer (CIMS) measurements of N2O5, ClNO2 and other halogenated species to understand the overall oxidation budget at the Weybourne Atmospheric Observatory rural marine site.\r\n\r\n" }, "onlineresource_set": [] }, { "ob_id": 24962, "uuid": "88520992e86d49dbab9b85746ed6f79b", "short_code": "result", "curationCategory": "C", "dataPath": "/badc/ukmo-lidarnet/data/knock/vaisala-cl31/", "numberOfFiles": 68209, "volume": 74576147187, "fileFormat": "Data are NetCDF formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24961, "uuid": "d73b6fb4fcfa4dfd844227c5b9475a94", "short_code": "ob", "title": "Met Éireann LIDARNET Knock Airport Vaisala CL31 ceilometer cloud base and backscatter data", "abstract": "Cloud base and backscatter data from the Met Éireann's Knock Airport Cl31 ceilometer located at Knock Airport, Charlestown, County Mayo, northwest Ireland. The Met Éireann's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.\r\n" }, "onlineresource_set": [] }, { "ob_id": 24975, "uuid": "7db3e402655a454894d713dff974f352", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/aphh/data/beijing/york-gas/", "numberOfFiles": 5, "volume": 21596241, "fileFormat": "Data are NASA Ames formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24974, "uuid": "0beb36f0313e4d5aa6f8c36aa12cd594", "short_code": "ob", "title": "APHH: O3, CO, NO, NO2, NOy and SO2 measurements made at the IAP-Beijing site during the summer and winter", "abstract": "This dataset contains O3, CO, NO, NO2, NOy and SO2 measurements made at the IAP-Beijing site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme." }, "onlineresource_set": [] }, { "ob_id": 24983, "uuid": "cac8b6199e834f0997b83e1867fac900", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/aragats", "numberOfFiles": 2590, "volume": 219425691, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24982, "uuid": "809c75d66e5f47f7b55c5542bf26dad9", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Aragats Research Station, Armenia", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Aragats Research Station, Armenia." }, "onlineresource_set": [] }, { "ob_id": 24991, "uuid": "15bd8960e2a5453fab86f3a061bcb100", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/azores", "numberOfFiles": 2953, "volume": 107931967, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24988, "uuid": "1df9c15fb1c14ef28ee99d5195e1c388", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Graciosa Azores, Portugal", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Graciosa Azores." }, "onlineresource_set": [] }, { "ob_id": 24993, "uuid": "441834ff6fb846bc93ecdc752af83893", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/evora", "numberOfFiles": 2607, "volume": 2630235309, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24992, "uuid": "942bc9cb12f04e1d8bfee06c9dae7d39", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Alentejo Evora, Portugal", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Alentejo Evora." }, "onlineresource_set": [] }, { "ob_id": 24997, "uuid": "c01bfb7a1b3e48099ec2b6437f78451b", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/nagycenk", "numberOfFiles": 2133, "volume": 2279851240, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24996, "uuid": "5db074ddfc7945e9813b4308f8a03420", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Nagycenk MTA CSFK GGI Szechenyi Istvan Geophysical Observatory, Hungary", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Nagycenk MTA CSFK GGI Szechenyi Istvan Geophysical Observatory." }, "onlineresource_set": [] }, { "ob_id": 25000, "uuid": "8e8a07cf537a45efb1077f351b0305da", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/panskaves", "numberOfFiles": 4753, "volume": 5651164588, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 24999, "uuid": "60781584324e472a81f52b8b244cbf66", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Liberec Duba Panska Ves, Czech Republic", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Liberec Duba Panska Ves." }, "onlineresource_set": [] }, { "ob_id": 25004, "uuid": "982c19197a80400488a357309d7f7fe7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/ramon", "numberOfFiles": 592, "volume": 1380731885, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25003, "uuid": "2ce214dd45b94730861593757ad80912", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Negev Mitzpe_Ramon, Israel", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Negev Mitzpe_Ramon." }, "onlineresource_set": [] }, { "ob_id": 25007, "uuid": "91d0f4c5b4a744e590272c6d7d2c98fc", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/studenec", "numberOfFiles": 5696, "volume": 6596867888, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25006, "uuid": "42fc3caa6d74469ab63c063558ff7a14", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Karlovy Vary Studenec, Czech Republic", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Karlovy Vary Studenec." }, "onlineresource_set": [] }, { "ob_id": 25010, "uuid": "8d6f2b32c1e648fca214704f18869a95", "short_code": "result", "curationCategory": "", "dataPath": "/badc/glocaem/data/swider", "numberOfFiles": 1057, "volume": 85927361, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25009, "uuid": "7a897f7dbdd547beb2ebe4a1564b036e", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Mazowieckie Otwock Swider, Poland", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Mazowieckie Otwock Swider." }, "onlineresource_set": [] }, { "ob_id": 25013, "uuid": "1a64ec50e4504127b4fb4218cbdf6cd0", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/xanthi", "numberOfFiles": 5485, "volume": 339408683, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25012, "uuid": "63b6800e62e64233a487c018a346e08e", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Thrace Xanthi, Greece", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Thrace Xanthi." }, "onlineresource_set": [] }, { "ob_id": 25016, "uuid": "f9bbbc36f34841f4970359a79a25d99c", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/bristol-science", "numberOfFiles": 445, "volume": 760227688, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25015, "uuid": "9b9f646f43ae430e9f4a5d2ef1a13bd0", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Bristol Science Centre", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Bristol." }, "onlineresource_set": [] }, { "ob_id": 25019, "uuid": "40432f287eca4f828476de79cf9438f7", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/glocaem/data/bristol-langford", "numberOfFiles": 444, "volume": 731499326, "fileFormat": "Data are BADC-CSV formatted", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25018, "uuid": "70f822f9d1734418a9ced14715c7bc8d", "short_code": "ob", "title": "GloCAEM: Atmospheric electricity measurements at Bristol Langford", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Bristol Langford." }, "onlineresource_set": [] }, { "ob_id": 25023, "uuid": "54b2590bec0c432b8c06d72781409cb4", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/osullivan_ice_nucleation2014/data", "numberOfFiles": 24, "volume": 6350559, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25024, "uuid": "fc867884cef243c5adbd081f3b14c709", "short_code": "ob", "title": "Ice nucleation by fertile soil dusts: relative importance of mineral and biogenic components: Ice active site density verses temperature for a number soil samples", "abstract": "These data are associated with Ice nucleation by fertile soil dusts: relative importance of mineral and biogenic components, by D. O’Sullivan, B. J. Murray, T. L. Malkin, T. F. Whale, N. S. Umo, J. D. Atkinson, H. C. Price, K. J. Baustian, J. Browse, and M. E. Webb. Atmos. Chem. Phys., 14, 1853–1867, 2014 www.atmos-chem-phys.net/14/1853/2014/ doi:10.5194/acp-14-1853-2014. The lab measurement data comprise Ice active site density verses temperature for a number of samples. The data are in CSV format." }, "onlineresource_set": [] }, { "ob_id": 25028, "uuid": "92f2980ddc84473fba6eda1553173c97", "short_code": "result", "curationCategory": "A", "dataPath": "/badc/deposited2017/osullivan_ice_nucleation2015/data", "numberOfFiles": 14, "volume": 1028430, "fileFormat": "CSV", "storageStatus": "online", "storageLocation": "internal", "oldDataPath": [], "observation": { "ob_id": 25027, "uuid": "6c1ca83355884cf5914778d960b336f0", "short_code": "ob", "title": "The relevance of nanoscale biological fragments for ice nucleation in clouds: Ice active site density verses temperature for a number soil, fungus and pollen samples.", "abstract": "These data are associated with The relevance of nanoscale biological fragments for ice nucleation in clouds, by D. O'Sullivan, B. J. Murray, J. F. Ross, T. F. Whale, H. C. Price, J. D. Atkinson, N. S. Umo & M. E. Webb. Scientific Reports, DOI: 10.1038/srep08082. The lab measurement data comprise Ice active site density verses temperature for a number of samples. The data are in CSV format." }, "onlineresource_set": [] } ] }