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formatted."},{"ob_id":46206,"dataPath":"/badc/ncas-mobile/data/ncas-lidar-dop-1/20210525_aquable/v1.0","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"AQUABLE: aerosol backscatter and radial winds from the NCAS Doppler Aerosol Lidar unit 1 deployed at Manchester Air Quality Supersite (MAQS), v1.0 (20210604-20210809)","uuid":"b1357386ce034eb68a4df359984207e1","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46205/?format=json"},"volume":153683675737,"numberOfFiles":228,"fileFormat":"Data are netCDF formatted."},{"ob_id":46209,"dataPath":"/badc/ncas-mobile/data/ncas-mobile-x-band-radar-1/20230525_woest/v1.0.0","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"Wessex Convection experiment - Observing the Evolving Structures of Turbulence (WOEST): volume scan from the NCAS X-Band Mobile Radar unit 1 deployed at MOD Lyneham, v1.0.0 (20230525-20230908)","uuid":"9e1272b352044260961a6e438a46e83f","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46208/?format=json"},"volume":2212414678795,"numberOfFiles":44022,"fileFormat":"Data are netCDF formatted."},{"ob_id":46212,"dataPath":"/badc/ncas-mobile/data/ncas-mrr-1/20210525_aquable/v1.0","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"AQUABLE: rain liquid water content velocity reflectivity from the NCAS Micro Rain Radar unit 1 deployed at Manchester Air Quality Supersite (MAQS), v1.0 (20210603-20210803)","uuid":"c7365ad6d24e4d1f8c28c2ec07fea16e","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46211/?format=json"},"volume":14437840267,"numberOfFiles":133,"fileFormat":"Data are netCDF formatted."},{"ob_id":46216,"dataPath":"/badc/ncas-mobile/data/ncas-radar-x-band-2/20231001_cao/v1.0.0","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"NCAS Long Term Observations at Chilbolton Observatory: birdbath and volume scans from the NCAS X-Band Mobile Radar unit 2 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO), v1.0.0 (20231001-20250306)","uuid":"7a268bc6e71f4a71826d90463fd85316","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46215/?format=json"},"volume":11604781227513,"numberOfFiles":179485,"fileFormat":"Data are netCDF formatted."},{"ob_id":46221,"dataPath":"/neodc/splice/data/SPLICE_Field_Data_Drone","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"SPLICE: Drone flights, Alice Holt Forest, Hampshire, UK, July 2023","uuid":"dae92d0e12d7498292d2f71829fcd1c7","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46220/?format=json"},"volume":217516755,"numberOfFiles":437,"fileFormat":"The dataset is comprised of 434 files, that are a total of 305 MB. Files are in NetCDF, CSV and PDF formats. Files with .pico extension are JSON files wrapped in a custom extension.\r\n\r\nArchive structure: Data from both site locations are within the ‘Site_One_51_155396_-0_864384’ and ‘Site_Two_51_155453_-0_865355’ directories, with the flights for each given in subsequent directories, e.g., ‘First Flight_51_155373_-0_864409’. Data for each flight is then found in e.g.,\r\n‘splice_20230718_d2_s1_40a’. Calibration files and processing code are also included. For full details of the structure please see the documentation_drone_flights.pdf file archived with the data."},{"ob_id":46226,"dataPath":"/neodc/tls/data/raw/uk/AH2/2023-07-18-AHL2.PROJ","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"SPLICE: Terrestrial Laser Scanning (TLS) for UK Alice Holt plot AH2, July 2023","uuid":"8f932c8964904e1ab07c1a5e2817fe12","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46227/?format=json"},"volume":206231501239,"numberOfFiles":52271,"fileFormat":"The following terrestrial LiDAR-derived products are available the Alice Holt plot:\r\n1. Raw terrestrial LiDAR data from each scan (no filtering was applied in RiSCAN PRO), stored in\r\nthe RXP data stream format developed by RIEGL.\r\n2. Transformation matrices necessary for rotating and translating the coordinate system of each\r\nscan, into the coordinate system of the first scan. Stored in DAT format.\r\n3. Pre-processed terrestrial LiDAR data:\r\na. full-resolution 10m tiled plot point clouds including attributes such as XYZ, scan position\r\nindex, reflectance, deviation, etc. stored in polygon PLY format.\r\nb. downsampled 10m tiled plot point clouds including attributes such as XYZ, scan position\r\nindex, reflectance, deviation, etc. stored in polygon PLY format.\r\nc. A tile_index file (maps the spatial location of the tiled point clouds) stored in DAT format.\r\nd. Bounding geometry files setting plot boundaries with and without a buffer surrounding the\r\nplot. Stored in shapefile SHP, DBF, SHX and CPG formats.\r\n4. Downsampled 10m tiled plot point clouds segmented into leaf, wood, ground points or coarse\r\nwoody debris. Stored in polygon file format PLY format.\r\n5. Wood-leaf separated tree-level point clouds including segmentation results and classification\r\nprobabilities for each point are stored in polygon PLY format.\r\n6. QSM files:\r\na. in_plot CSV (for plots processed with TLS2trees) lists all trees to be modelled with QSMs\r\nas they are located inside the plot boundary.\r\nb. out_plot CSV (for plots processed with TLS2trees) lists all trees NOT to be modelled as\r\nthey are located outside the plot boundary.\r\nc. plot_boundary CSV (for plots processed with TLS2trees) shows the location of all\r\nin_plot trees within each plot boundary.\r\nd. QSM processing files (.MAT Matlab).\r\ne. QSMs derived from each woody tree-level point cloud, (.MAT Matlab)\r\n7. We provide pre-processed and segmented terrestrial LiDAR data in PLY format as it supports\r\nfull 3D object representation, including polygons and geometric primitives, in addition to point\r\ndata. This is essential for storing quantitative structure models (QSMs), which go beyond point\r\nclouds to describe tree geometry. The PLY format is open, widely supported in Python and R,\r\nand can be converted to LAS/LAZ when only point data are required.\r\n8. Tree-attributes file (.CSV) containing biophysical parameters derived from both the point clouds\r\nand QSMs: DBH, tree height, tree-level volume and AGB with uncertainty, plot-level AGB and\r\nassociated uncertainty.\r\n9. Figures of all individually segmented trees arranged by tree DBH size (largest to smallest DBH)\r\nfor each FBRMS plot(PNG image format).\r\n10. GNSS coordinates (geographical coordinate system: WGS84 Cartesian) for all scan positions\r\nstored in KMZ zip-compressed format. These files are available for the seven French Guiana\r\nand Gabon FBRMS plots.\r\n\r\nMore detail can be found in the Site_and_data_collection_and_processing_details.pdf document archived with the data"},{"ob_id":46229,"dataPath":"/badc/deposited2025/Southern_Ocean_Clouds/dms_rothera_v2","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"DMS concentrations in the Antarctic Peninsula (v2)","uuid":"139744a1b5764ca5a0306f37ad14105a","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46228/?format=json"},"volume":787807,"numberOfFiles":2,"fileFormat":"CSV"},{"ob_id":46231,"dataPath":"/badc/deposited2026/RAMIP_CESM2/ICEFRAC/","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"Ice fraction data produced by the CESM2 model for the Regional Aerosol Model Intercomparison Project (RAMIP)","uuid":"acb6ff397e014ade82f131e8eeb2850d","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46230/?format=json"},"volume":8679436996,"numberOfFiles":61,"fileFormat":"NetCDF"},{"ob_id":46246,"dataPath":"/neodc/esacci/river_discharge/data/RD/RD-combined/v2.0/","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v2.0","uuid":"8a76d9fe4a3f4dcdbf023041ad4dec85","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/45726/?format=json"},"volume":0,"numberOfFiles":0,"fileFormat":"Data are in CSV and NetCDF format"},{"ob_id":46247,"dataPath":"/neodc/esacci/river_discharge/data/RD/RD-multi/v2.0/","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v2.0","uuid":"4d3dbae68be14f9787f7371b25f80156","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/45175/?format=json"},"volume":0,"numberOfFiles":0,"fileFormat":"Data are in CSV and NetCDF format"},{"ob_id":46260,"dataPath":"/badc/ncas-maqs/data/maqs-fidas-1/20231001_longterm/v3.4.1","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"NCAS Long Term Observations: surface meteorology and particle matter concentration measurements from the maqs-fidas-1 deployed at Manchester Air Quality Supersite (MAQS), v3.4.1","uuid":"39e5d7b35ddd494e90adf9f5993b03cb","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46259/?format=json"},"volume":2511799,"numberOfFiles":3,"fileFormat":"Data are netCDF formatted."},{"ob_id":46263,"dataPath":"/badc/ncas-maqs/data/maqs-48i-1/20231001_longterm/v3.4.1","oldDataPath":[],"storageLocation":"internal","storageStatus":"online","observation":{"title":"NCAS Long Term Observations: CO concentration from the maqs-48i-1-CO deployed at Manchester Air Quality Supersite (MAQS), v3.4.1","uuid":"c43f2ed77f914be0a9308d798b597da1","ob_id":"https://catalogue.ceda.ac.uk/api/v2/observations/46262/?format=json"},"volume":39250392,"numberOfFiles":2,"fileFormat":"Data are netCDF formatted."}]}