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数据集标题:  Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project,
Lon0360
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机构:  NOAA NMFS SWFSC ERD   (数据集 ID: ecocast_Lon0360)
信息:  概括 ? | 执照 ? | FGDC | ISO 19115 | 元数据 | 背景 | 数据访问表 | 文件
 
图表类型:  ?
X 轴:  ?
Y 轴:  ?
颜色:  ?
 
方面 ?    开始 ?    Stop ?
time (UTC) ?     仅指定 1 个值 →
    |< -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
图表设置
彩条:   连续性:   规模: 
   最低限度:   最大限度:   N 节: 
绘制陆地遮罩: 
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(请耐心等待,获取数据可能需要一段时间。)
 
选修的:
然后设置文件类型: (文件类型信息)
and
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飞涨:
[您指定的图表。请耐心等待。]

 

您可以使用图表来做的事情

当然,你可以对图表做任何你想做的事情。但你可能没有考虑到以下几点:

此数据集的数据集属性结构 (.das)

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5258672e+9, 1.7492112e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Centered Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 29.652364600000002, 47.0653;
    String axis "Y";
    String comment "Latitude values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 48.0;
    Float64 valid_min 29.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 228.4086, 244.32899808000002;
    String axis "X";
    String comment "Longitude values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ecocast {
    Float64 _FillValue -9999.0;
    String cell_methods "time: mean (interval: 1.0 day)";
    String colorBarMaximum "1.0";
    String colorBarMinimum "-1.0";
    String colorBarPalette "RedWhiteBlue";
    String comment "The relative likelihood of catching target species vs bycatch species given the current species weightings. The values range from -1 to 1, indicating high likelihoods of catching bycatch species and target species, respectively.";
    String coverage_content_type "modelResult";
    String ioos_category "Ecology";
    String long_name "EcoCast Relative Bycatch-Target Catch Probability Product";
    String units "1";
    Float64 valid_max 1.0;
    Float64 valid_min -1.0;
  }
  NC_GLOBAL {
    String acknowledgment "We thank the scientific teams and all those who supported animal tagging efforts in addition to the SWFSC fisheries observer program that collected bycatch data aboard drift gillnet vessels. We are grateful to the numerous captains and crews who provided ship time and logistical support, and NOAA regional managers including Heidi Taylor and Tina Fahy that provided feedback and support along the way. We also thank Lucie Hazen at Stanford’s Center for Ocean Solutions for logistical and meeting support towards achieving the NASA project goals. This project also was a brain-child of the late Dave Foley whose career was dedicated to incorporate oceanographic data into fisheries management.";
    String cdm_data_type "Grid";
    String comment "Match up the time from this dataset to the time in the EcoCast Inputs dataset (https://oceanview.pfeg.noaa.gov/erddap/tabledap/ecocast_inputs) the obtain species weightings and enviromental data dates used to generate the EcoCast Maps";
    String contributor_name "Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)";
    String contributor_role "Co-PIs";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "heather.welch@noaa.gov ; erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD";
    String creator_url "https://swfsc.noaa.gov";
    Float64 Easternmost_Easting 244.32899808000002;
    Float64 geospatial_lat_max 47.0653;
    Float64 geospatial_lat_min 29.652364600000002;
    Float64 geospatial_lat_resolution 0.24875621999999997;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 244.32899808000002;
    Float64 geospatial_lon_min 228.4086;
    Float64 geospatial_lon_resolution 0.2487562200000002;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-07T13:56:09Z https://oceanview.pfeg.noaa.gov/erddap/
2025-06-07T13:56:09Z https://coastwatch.pfeg.noaa.gov/griddap/ecocast_Lon0360.das";
    String infoUrl "https://coastwatch.pfeg.noaa.gov/ecocast";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "blue shark, California, California sea lion, Dermochelys coricea, dynamic ecosystem management, Earth Science > Biological Classification > Animals/Vertebrates > Fish > Ray-Finned Fishes, Earth Science > Biological Classification > Animals/Vertebrates > Fish > Sharks/Rays/Chimaeras, Earth Science > Biological Classification > Animals/Vertebrates > Mammals > Carnivores > Seals/Sea Lions/Walruses, Earth Science > Biological Classification > Animals/Vertebrates > Reptiles > Turtles, Earth Science > Human Dimensions > Environmental Governance/Management > Environmental Regulations, Earth Science > Human Dimensions > Sustainability > Environmental Sustainability, Earth Science > Oceans > Marine Environment Monitoring, Ecocast, leatherback sea turtle, NOAA, ocean, Prionace glauca, Southwest fisheries, SWFSC, Zalophus californianus";
    String keywords_vocabulary "NASA Global Change Master Directory (GCMD) Keywords, Version 7.0.0";
    String license "These data are available for use without restriction.  Please acknowledge the use of these data by citing the following publications: Hazen et al. Sustaining pelagic fisheries: An Eco-Informatic solution to fisheries bycatch. In prep.  Welch et al. Practical considerations for operationalizing dynamic management tools. In prep.). The data may be used and redistributed for free but are not intended or legal use, since they may contain inaccuracies. Neither the data contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.";
    String nameing_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 47.0653;
    String project "EcoCast";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_url "https://coastwatch.pfeg.noaa.gov/erddap";
    String references "https://coastwatch.pfeg.noaa.gov/ecocast/, https://heatherwelch.shinyapps.io/ecocastapp/";
    String source_data "CoastWatch West Coast ERDDAP (ncdcOwDly_LonPM180, jplUKMO_OSTIAv201), CMEMS (SEALEVEL_GLO_SLA_MAP_L4_NRT_OBSERVATIONS_008_026), AVISO+ (msla), NOAA Coral Reef Watch (CRW_SST)";
    String sourceUrl "https://oceanview.pfeg.noaa.gov/erddap/";
    Float64 Southernmost_Northing 29.652364600000002;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).";
    String time_coverage_end "2025-06-06T12:00:00Z";
    String time_coverage_resolution "PD1";
    String time_coverage_start "2018-05-09T12:00:00Z";
    String title "Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project, Lon0360";
    Float64 Westernmost_Easting 228.4086;
  }
}

 

使用 griddap 从网格数据集请求数据和图表

griddap允许您通过特殊格式的 URL 从网格数据集中请求数据子集、图表或地图(例如,来自卫星的海面温度数据)。griddap 使用OPeNDAP  (external link)数据访问协议 (DAP )  (external link)及其投影约束 (external link)

URL 指定您想要的内容:数据集、图表或数据子集的描述以及响应的文件类型。

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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ERDDAP ,版本2.27.0
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