This data set consists of predicted distribution maps for 27 seabird species of the circumpolar Arctic. These maps are based on public compiled 'presence only' data and absence scenarios; it covers the summer season of the Arctic ocean. The models are created with data mining and machine learning algorithms, RandomForest. The following seabird species are included (names and taxonomic serial numbers (TSN) from the ITIS taxonomy database are used): Razorbill (Alca torda, TSN 176971), Dovekie (Alle alle, TSN 176982), Kittlittzs Murrelet (Brachyramphus brevirostris, TSN 176998), Pigeon Guillemot (Cepphus columba, TSN 176991), Black Guillemot (Cepphus grylle, TSN 176985), Atlantic Puffin (Fratercula arctica, TSN 177025), Tufted Puffin (Fratercula cirrhata, TSN 177032), Horned Puffin (Fratercula corniculata, TSN 177029), Northern Fulmar (Fulmarus glacialis,TSN 174536), Herring Gull (Larus argentatus, TSN 176824), Lesser Black-backed Gull (Larus fuscus, TSN 176821), Iceland Gull (Larus glaucoides, TSN 176811), Heuglins Gull (Larus heuglini, TSN 176821), Glaucous Gull (Larus hyperboreus, TSN 176808), Great Black-backed Gull (Larus marinus, TSN 176815), Thayers Gull (Larus thayeri, TSN 176828), Ivory Gull ( Pagophila eburnean, TSN 176851), Rosss Gull (Rhodostethia rosea, TSN 176864), Black-legged Kittiwake (Rissa tridactyla, TSN 176875), Long-tailed Jaeger (Stercorarius longicaudus, TSN 176794), Parasitic Jaeger (Stercorarius parasiticus, TSN 176793), Pomarine Jaeger (Stercorarius pomarinus, TSN 176792), Great Skua (Stercorarius skua, TSN 176797), Aleutian tern (Sterna aleutica, TSN 176893), Arctic tern (Sterna paradisaea, TSN 176890), Common Murre (Uria aalge, TSN 176974), Thick-billed Murre (Uria lomvia, TSN 176978), Sabines Gull (Xema sabini, TSN 176866).
These models are the first of its kind, and as part of a special issue journal publication several model-prediction performance metrics were employed, showing poor (few coastal species) to very good performances (most pelagic species). These models are available as ESRI GRIDS and should be used and for further testing and improvement.