five

Probability of occurrence 3D map

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3-D habitat suitability maps (HSMS) or probability of occurrence maps for main commercial fish species, built using Shape-Constrained Generalized Additive Models (SC-GAMs) acknowledgement=We acknowledge Ocean Biodiversity Information System (OBIS; https://obis.org/) and the Global Biodiversity Information Facility (GBIF; https://www.gbif.org/) for providing fish global occurrences studied here. We also thank to publicly available datasets Copernicus (http://marine.copernicus.eu/services-portfolio/access-to-products/) and the World Ocean Atlas (https://www.ncei.noaa.gov/products/world-ocean-atlas) for providing environmental data cdm_data_type=Grid citation=Valle, M., E. Ramírez-Romero, L. Ibaibarriaga, L. Citores, J. A. Fernandes-Salvador, and G. Chust. 2024. Pan-Atlantic 3D distribution model incorporating water column for commercial fish. Ecological Modelling 490:110632. https://doi.org/10.1016/j.ecolmodel.2024.110632 comment=Uses attributes recommended by https://cfconventions.org Conventions=CF-1.8, COARDS, ACDD-1.3 Easternmost_Easting=68.375 geospatial_lat_max=89.875 geospatial_lat_min=-82.875 geospatial_lat_resolution=0.25 geospatial_lat_units=degrees_north geospatial_lon_max=68.375 geospatial_lon_min=-97.875 geospatial_lon_resolution=0.25 geospatial_lon_units=degrees_east history=https://github.com/missionatlantic/3D_SDMs_AtlanticFish infoUrl=www.azti.es institution=BRTA naming_authority=emodnet-biology.eu Northernmost_Northing=89.875 project=MISSION ATLANTIC project-European Unionâs Horizon 2020 research and innovation programme under grant agreements No 862428 source=https://github.com/missionatlantic/3D_SDMs_AtlanticFish sourceUrl=(local files) Southernmost_Northing=-82.875 standard_name_vocabulary=CF Standard Name Table v70 Westernmost_Easting=-97.875

{'3-D habitat suitability maps (HSMS) or probability of occurrence maps for main commercial fish species, built using Shape-Constrained Generalized Additive Models (SC-GAMs)': '基于形状约束广义加性模型(SC-GAMs)构建的3-D栖息地适宜性图(HSMS)或主要商业鱼类物种发生概率图', 'acknowledgement': '我们感谢海洋生物多样性信息系统(OBIS;https://obis.org/)和全球生物多样性信息设施(GBIF;https://www.gbif.org/)为我们提供了在此研究中研究的鱼类全球分布数据。我们亦对提供环境数据的公开数据集Copernicus(http://marine.copernicus.eu/services-portfolio/access-to-products/)和世界海洋大百科(https://www.ncei.noaa.gov/products/world-ocean-atlas)表示感谢。', 'cdm_data_type': '网格数据类型', 'citation': 'Valle, M., E. Ramírez-Romero, L. Ibaibarriaga, L. Citores, J. A. Fernandes-Salvador, and G. Chust. 2024. Pan-Atlantic 3D distribution model incorporating water column for commercial fish. Ecological Modelling 490:110632. https://doi.org/10.1016/j.ecolmodel.2024.110632', 'comment': '采用https://cfconventions.org推荐的属性', 'Conventions': 'CF-1.8, COARDS, ACDD-1.3', 'Easternmost_Easting': '最东端经度=68.375', 'geospatial_lat_max': '地理纬度最大值=89.875', 'geospatial_lat_min': '地理纬度最小值=-82.875', 'geospatial_lat_resolution': '地理纬度分辨率=0.25', 'geospatial_lat_units': '地理纬度单位=北纬度', 'geospatial_lon_max': '地理经度最大值=68.375', 'geospatial_lon_min': '地理经度最小值=-97.875', 'geospatial_lon_resolution': '地理经度分辨率=0.25', 'geospatial_lon_units': '地理经度单位=东经度', 'history': 'https://github.com/missionatlantic/3D_SDMs_AtlanticFish', 'infoUrl': 'www.azti.es', 'institution': 'BRTA', 'naming_authority': 'emodnet-biology.eu', 'Northernmost_Northing': '最北端纬度=89.875', 'project': '使命大西洋项目-欧盟的“地平线2020”研究和创新计划,根据合同协议No 862428', 'source': 'https://github.com/missionatlantic/3D_SDMs_AtlanticFish', 'sourceUrl': '(本地文件)', 'Southernmost_Northing': '最南端纬度=-82.875', 'standard_name_vocabulary': 'CF标准名称表v70', 'Westernmost_Easting': '最西端经度=-97.875'}
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