BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Small particulate Polonium 210 and Lead 210 measurements from the Western
Arctic Ocean, which were sampled as part of the 2015 US GEOTRACES Cruise,
HLY1502 (GN01), on USCGC Healy
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_808502)
Range: longitude = -179.049 to -148.939°E, latitude = 60.224 to 80.473°N, depth = 11.0 to 3780.0m, time = 2015-08-12T23:50Z to 2015-10-08T00:44Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
Time range:    |<   -       
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station_ID {
    Byte _FillValue 127;
    Byte actual_range 1, 66;
    String bcodmo_name "station";
    String description "Station identifier";
    String long_name "Station ID";
    String units "unitless";
  }
  Start_Date_UTC {
    String bcodmo_name "date";
    String description "Date (UTC) at start of sampling; format: yyyy-mm-dd";
    String long_name "Start Date UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Start_Time_UTC {
    String bcodmo_name "time";
    String description "Time (UTC) at start of sampling; format: HH:MM";
    String long_name "Start Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4394234e+9, 1.44426504e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) at start of sampling formatted to ISO 8601 standard; format: yyyy-mm-ddT:HH:MMZ";
    String ioos_category "Time";
    String long_name "Start ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "Start_ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  End_Date_UTC {
    String bcodmo_name "date";
    String description "Date (UTC) at end of sampling; format: yyyy-mm-dd";
    String long_name "End Date UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  End_Time_UTC {
    String bcodmo_name "time";
    String description "Time (UTC) at end of sampling; format: HH:MM";
    String long_name "End Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  End_ISO_DateTime_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) at end of sampling formatted to ISO 8601 standard; format: yyyy-mm-ddT:HH:MMZ";
    String long_name "End ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 60.224, 80.473;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at start of sampling";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "Start_Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -179.049, -148.939;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at start of sampling";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "Start_Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  End_Latitude {
    Float32 _FillValue NaN;
    Float32 actual_range 60.224, 80.473;
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at end of sampling";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees North";
  }
  End_Longitude {
    Float32 _FillValue NaN;
    Float32 actual_range -179.049, -148.939;
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at end of sampling";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees East";
  }
  Event_ID {
    Int16 _FillValue 32767;
    Int16 actual_range 6011, 6488;
    String bcodmo_name "event";
    String description "GEOTRACES event number";
    String long_name "Event ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  Sample_ID {
    Int16 _FillValue 32767;
    Int16 actual_range 10506, 12313;
    String bcodmo_name "sample";
    String description "GEOTRACES sample number";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 11.0, 3780.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Sample depth";
    String ioos_category "Location";
    String long_name "Sample Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Pb_210_SPT_CONC_PUMP_cbmm3u {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0482, 0.6788;
    String bcodmo_name "trace_element_conc";
    String description "Concentration (or activity) of 210Pb in small particles";
    String long_name "Pb 210 SPT CONC PUMP Cbmm3u";
    String units "mBq/kg";
  }
  SD1_Pb_210_SPT_CONC_PUMP_cbmm3u {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0017, 0.0288;
    String bcodmo_name "trace_element_conc";
    String description "One standard deviation for Pb_210_SPT_CONC_PUMP_cbmm3u";
    String long_name "SD1 Pb 210 SPT CONC PUMP Cbmm3u";
    String units "mBq/kg";
  }
  Flag_Pb_210_SPT_CONC_PUMP_cbmm3u {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag for Pb_210_SPT_CONC_PUMP_cbmm3u";
    String long_name "Flag Pb 210 SPT CONC PUMP Cbmm3u";
    String units "None";
  }
  Po_210_SPT_CONC_PUMP_5c1vo9 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0488, 0.6855;
    String bcodmo_name "trace_element_conc";
    String description "Concentration (or activity) of 210Po in small particles";
    String long_name "Po 210 SPT CONC PUMP 5c1vo9";
    String units "mBq/kg";
  }
  SD1_Po_210_SPT_CONC_PUMP_5c1vo9 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0018, 0.0448;
    String bcodmo_name "trace_element_conc";
    String description "One standard deviation for Po_210_SPT_CONC_PUMP_5c1vo9";
    String long_name "SD1 Po 210 SPT CONC PUMP 5c1vo9";
    String units "mBq/kg";
  }
  Flag_Po_210_SPT_CONC_PUMP_5c1vo9 {
    Byte _FillValue 127;
    Byte actual_range 1, 1;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag for Po_210_SPT_CONC_PUMP_5c1vo9";
    String long_name "Flag Po 210 SPT CONC PUMP 5c1vo9";
    String units "None";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Both the sample collection and analytical methods were done following the
GEOTRACES Cookbook (Cutter et al., 2017).
 
Particulate Po-210 and Pb-210 was collected using large volume McLane pumps.
Samples were collected on two different filter sizes, small particles (1- 51
\\u00b5m) and large particles (>51 \\u00b5m) filtering 500-800 L seawater. This
dataset contains data on the small particles.
 
Analytical procedures were performed at Louisiana State University, following
the protocol described in GEOTRACES Cookbook, Flynn (1968) and Fleer and Bacon
(1984). The counting for Po-210 was done using Canberra Alpha Analyst high-
resolution silicon-surface barrier (PIPS). The counting error was less than
10% for all the samples including the tracer.";
    String awards_0_award_nid "779316";
    String awards_0_award_number "OPP-1435376";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435376";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Cynthia Suchman";
    String awards_0_program_manager_nid "779315";
    String cdm_data_type "Other";
    String comment 
"Po-Pb Small Particles 
   US GEOTRACES Arctic, HLY1502 (GN01) 
  PI: Kanchan Maiti (Louisiana State University) 
  Co-PI: Wokil Bam (Louisiana State University) 
  Version: 07 April 2020";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2020-04-07T16:47:44Z";
    String date_modified "2020-04-13T16:07:09Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.808502.1";
    Float64 Easternmost_Easting -148.939;
    Float64 geospatial_lat_max 80.473;
    Float64 geospatial_lat_min 60.224;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -148.939;
    Float64 geospatial_lon_min -179.049;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3780.0;
    Float64 geospatial_vertical_min 11.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-13T02:16:06Z (local files)
2022-08-13T02:16:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_808502.das";
    String infoUrl "https://www.bco-dmo.org/dataset/808502";
    String institution "BCO-DMO";
    String instruments_0_acronym "McLane Pump";
    String instruments_0_dataset_instrument_nid "808517";
    String instruments_0_description "McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab.";
    String instruments_0_instrument_name "McLane Pump";
    String instruments_0_instrument_nid "627";
    String instruments_0_supplied_name "large volume McLane pumps";
    String instruments_1_acronym "Spectrometer";
    String instruments_1_dataset_instrument_description "Canberra Alpha Analyst high-resolution 142 silicon-surface barrier (PIPS)";
    String instruments_1_dataset_instrument_nid "808510";
    String instruments_1_description "A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0460/";
    String instruments_1_instrument_name "Spectrometer";
    String instruments_1_instrument_nid "667";
    String instruments_1_supplied_name "Alpha Spectroscopy Passivated Implanted Planar Silicon (PIPS) detector";
    String keywords "5c1vo9, bco, bco-dmo, biological, cbmm3u, chemical, conc, data, dataset, date, depth, dmo, end, End_Date_UTC, End_ISO_DateTime_UTC, End_Latitude, End_Longitude, End_Time_UTC, erddap, event, Event_ID, flag, Flag_Pb_210_SPT_CONC_PUMP_cbmm3u, Flag_Po_210_SPT_CONC_PUMP_5c1vo9, iso, latitude, longitude, management, oceanography, office, Pb_210_SPT_CONC_PUMP_cbmm3u, Po_210_SPT_CONC_PUMP_5c1vo9, preliminary, pump, sample, Sample_Depth, Sample_ID, sd1, SD1_Pb_210_SPT_CONC_PUMP_cbmm3u, SD1_Po_210_SPT_CONC_PUMP_5c1vo9, spt, start, Start_Date_UTC, Start_Time_UTC, station, Station_ID, time";
    String license "https://www.bco-dmo.org/dataset/808502/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/808502";
    Float64 Northernmost_Northing 80.473;
    String param_mapping "{'808502': {'Start_ISO_DateTime_UTC': 'flag - time', 'Sample_Depth': 'flag - depth', 'Start_Longitude': 'flag - longitude', 'Start_Latitude': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/808502/parameters";
    String people_0_affiliation "Louisiana State University";
    String people_0_affiliation_acronym "LSU";
    String people_0_person_name "Kanchan Maiti";
    String people_0_person_nid "712671";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Louisiana State University";
    String people_1_affiliation_acronym "LSU";
    String people_1_person_name "Wokil Bam";
    String people_1_person_nid "808158";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "U.S. GEOTRACES Arctic,GEOTRACES Arctic Trace Metal Disequilibria";
    String projects_0_acronym "U.S. GEOTRACES Arctic";
    String projects_0_description 
"Description from NSF award abstract:
In pursuit of its goal \"to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions\", in 2015 the International GEOTRACES Program will embark on several years of research in the Arctic Ocean. In a region where climate warming and general environmental change are occurring at amazing speed, research such as this is important for understanding the current state of Arctic Ocean geochemistry and for developing predictive capability as the regional ecosystem continues to warm and influence global oceanic and climatic conditions. The three investigators funded on this award, will manage a large team of U.S.scientists who will compete through the regular NSF proposal process to contribute their own unique expertise in marine trace metal, isotopic, and carbon cycle geochemistry to the U.S. effort. The three managers will be responsible for arranging and overseeing at-sea technical services such as hydrographic measurements, nutrient analyses, and around-the-clock management of on-deck sampling activites upon which all participants depend, and for organizing all pre- and post-cruise technical support and scientific meetings. The management team will also lead educational outreach activities for the general public in Nome and Barrow, Alaska, to explain the significance of the study to these communities and to learn from residents' insights on observed changes in the marine system. The project itself will provide for the support and training of a number of pre-doctoral students and post-doctoral researchers. Inasmuch as the Arctic Ocean is an epicenter of global climate change, findings of this study are expected to advance present capability to forecast changes in regional and globlal ecosystem and climate system functioning.
As the United States' contribution to the International GEOTRACES Arctic Ocean initiative, this project will be part of an ongoing multi-national effort to further scientific knowledge about trace elements and isotopes in the world ocean. This U.S. expedition will focus on the western Arctic Ocean in the boreal summer of 2015. The scientific team will consist of the management team funded through this award plus a team of scientists from U.S. academic institutions who will have successfully competed for and received NSF funds for specific science projects in time to participate in the final stages of cruise planning. The cruise track segments will include the Bering Strait, Chukchi shelf, and the deep Canada Basin. Several stations will be designated as so-called super stations for intense study of atmospheric aerosols, sea ice, and sediment chemistry as well as water-column processes. In total, the set of coordinated international expeditions will involve the deployment of ice-capable research ships from 6 nations (US, Canada, Germany, Sweden, UK, and Russia) across different parts of the Arctic Ocean, and application of state-of-the-art methods to unravel the complex dynamics of trace metals and isotopes that are important as oceanographic and biogeochemical tracers in the sea.";
    String projects_0_end_date "2017-06";
    String projects_0_geolocation "Arctic Ocean; Sailing from Dutch Harbor to Dutch Harbor";
    String projects_0_name "U.S. Arctic GEOTRACES Study";
    String projects_0_project_nid "638812";
    String projects_0_start_date "2014-07";
    String projects_1_acronym "GEOTRACES Arctic Trace Metal Disequilibria";
    String projects_1_description 
"NSF Award Abstract:
This project will form part of the 2015 U.S. GEOTRACES Arctic expedition. In common with other multinational initiatives in the International GEOTRACES Program, the goals of the U.S. Arctic expedition are to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes (TEIs) in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions. Some trace elements are essential to life, others are known biological toxins, and still others are important because they can be used as tracers of a variety of physical, chemical, and biological processes in the sea. Within this broader framework, the goal of this project is to measure the naturally occurring radionuclides radium-226 (half-life 1600 years), lead-210 (half-life 22.1 y) and polonium-210 (half-life 138 days) to determine removal rates of particle reactive TEIs from the water column and to study the processes responsible for their scavenging, lateral and vertical transport and accumulation in bottom sediments. A wide range of processes will be encountered along the proposed ARCTIC GEOTRACES section and the proposed study will play a key role in the interpretation of observed TEI distributions and address the following questions: (1) What is the variability in scavenging intensity of polonium and lead between the Pacific waters and that of particle dominated areas of the shelf? (2) How does the scavenging intensity of polonium and lead change across areas of varying nutrient concentrations in the Chukchi Sea? (3) How does the scavenging intensity vary between Canadian Basin and the Makarov Basin? (4) Which are the areas of enhanced sediment focusing in this region and how important is the role of boundary scavenging and lateral transport of particles with respect to lead-210 distribution in water column and sediments? (5) What are the seasonal scale vertical fluxes of particulate organic matter in this region and the relative importance of lateral versus vertical transport of organic matter and other TEIs? (6) How do particle mixing rates vary across the basin and impact reduction rates? (7) Are the bottom waters in the shelf region enriched in polonium-210 due to sediment remobilization? The ability to address these questions will allow better understanding of processes controlling the distribution in this region of other TEIs that will be measured by other investigators. The broader impacts of the research include the involvement of 1 Ph.D. student and at least 2 undergraduate students. The lead investigator is an early-career scientist and this project will help him in extending his expertise in the Arctic region and further development of his career. The investigator is involved in numerous local outreach activities that will provide opportunities for education of the general public and high school students about marine ecosystems and how it affects their environmental well-being. Moreover this research will also be a part of the broader Arctic GEOTRACES outreach program which plans to support the participation of a high-school science teacher on the cruise through partnership with PolarTREC and COSEE-Alaska.";
    String projects_1_end_date "2019-12";
    String projects_1_geolocation "Canadian Arctic";
    String projects_1_name "GEOTRACES Arctic Section: Disequilibria between Radium-226, Lead-210 and Polonium-210 in the Arctic Ocean and their implications for trace metal distribution";
    String projects_1_project_nid "779317";
    String projects_1_start_date "2015-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.224;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Flag_Pb_210_SPT_CONC_PUMP_cbmm3u,Flag_Po_210_SPT_CONC_PUMP_5c1vo9";
    String summary "This dataset includes small particulate Polonium 210 and Lead 210 measurements from the Western Arctic Ocean, which were sampled as part of the 2015 US GEOTRACES Cruise (GN01; HLY1502). These data have been published in Bam et al., 2020.";
    String time_coverage_end "2015-10-08T00:44Z";
    String time_coverage_start "2015-08-12T23:50Z";
    String title "Small particulate Polonium 210 and Lead 210 measurements from the Western Arctic Ocean, which were sampled as part of the 2015 US GEOTRACES Cruise, HLY1502 (GN01), on USCGC Healy";
    String version "1";
    Float64 Westernmost_Easting -179.049;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact