The aerial laser scanning (ALS) dataset, acquired on October 2004, covers the experimental station Paracou in French Guiyana. More precisely, the dataset covers all Paracou plots totally except of plot 15 that is only covered partly. The area includes exploited and non-exploited forest and Pinot palm. Ground echoes are available as well as a digital terrain model (DTM), a digital surface model (DSM) , and a digital canopy model (DCM) with a 1 meter resolution.

Africadiv is a network of 1-ha forest monitoring plots spread across the moist forests in central Africa. The Cameroonian site of Mindourou II is composed of 12 1-ha forest plots. The following data are available for the different plots at this site: Structure - DBH of all trees ≥ 10 cm DBH : n = 5 598 Structure - Tree height : n = 920 Structure - Trunk height : n = 667 Structure - Crown diameter : n = 233 Identification rate - species-level : 56.4 % Identification rate - genus-level : 26.2 % Identification rate - family-level : 11.7 % Identification rate - unidentified : 5.7 % Soil samples & analyses available : YES Geolocation : GPS points and laser measurements (distance, vertical & horizontal angles) every 20 m on the contour of the plot. These data are routinely collected and used by AMAP research unit (IRD) and partners (LaboSyst, Yaoundé 1 University). Scientific collaboration are welcomed, please get in touch with a Point of contact.

DTM data source was created by taking contour lines and spot soundings from Norwegian Electronic Navigational Charts. NOTE: Data east of appr.

Africadiv is a network of 1-ha forest monitoring plots spread across the moist forests in central Africa. This dataset holds the inventory of tree species in the Cameroonian site of Mindourou II. In each plot, the diameter at breast height (DBH) of all trees with DBH ≥ 10 cm have been measured (n=5598). All trees were identified in the field by expert botanists. Leaves samples were frequently collected for genetic analyses along with herbarium samples. The herbarium and leave samples are conserved at the Herbarium of the Université Libre de Bruxelles (BRLU, Belgium) and the determination of the samples is frequently updated by ULB's botanists. End of 2016, the identification rate was: 56.4% on species-level, 26.2% on genus-level, 11.7% on family-level. 5.7% remained unidentified.

The aerial laser scanning (ALS) dataset, acquired in 2004, covers three plots of Counami site in French Guiana. The laser recorded last reflected pulse. Ground points data where not delivered by ALTOA.

Africadiv is a network of 1-ha forest monitoring plots spread across the moist forests in central Africa. This dataset holds general physical and chemical parameters for soil samples taken in Mindourou II site in Cameroun. Samples were collected between 2013 and 2014 across 1-ha forest monitoring plots. Soil cores were taken to a depth of 1 metre and divided into 15 centimetre (cm) depth increments. General soil physical and chemical parameters were measured at each depth increment for most of the sites.

The One Scotland Gazetteer is an address database made up of all 32 individual local authority gazetteers. All addresses are created in accordance with the national standard for addressing, BS7666:2006 and the Scottish Gazetteer Conventions. Key features include: Spatially referenced address records, Property lifecycle details, Full compliance to the Scottish Gazetteer Conventions.

The Scottish Radiocarbon index shows the location of archaeological sites in Scotland where radiocarbon dating has been undertaken. The spatial index includes a link to the relevant record on the Canmore database (https://canmore.org.uk/) listing all recorded radiocarbon determinations with hyperlinks leading to individual results. The database excludes those results that cannot be linked to an identifiable site record in Canmore. It does not represent a complete record of all radiocarbon determinations undertaken across Scotland but is relatively complete up to 2005.

Continuous tidal levels spanning the period 2000-2019 are provided alongside topo-bathymetric and wave datasets. The astronomical tide dataset starts three years before beach morphological observations. Tidal levels were derived from existing databases furnished by external organisations.

Continuous hourly time-series of inshore waves spanning the period 2000-2019 are provided alongside topo-bathymetric and tide datasets. The wave dataset starts three years before topographic observations to provide antecedent conditions for morphodynamic modelling purposes. Wave parameters were derived from existing databases furnished by external organisations.