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Tracking The Fate Of Real-life Model Nanoplastics

Our mission is to protect human health and the environment.

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d

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About this Dataset

Tracking The Fate Of Real-life Model Nanoplastics

Elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems. This research contains new data expanding the realm of nanoplastics that can be followed based on their metallic signatures to all kinds of plastics. Additionally, this study illustrates the importance of nanoplastics as a source of metals and metal-bearing nanoparticles in the environment.

Tables

Icptof7

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof7
  • 333.72 KB
  • 14017 rows
  • 39 columns
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CREATE TABLE icptof7 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof5

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof5
  • 326.52 KB
  • 13828 rows
  • 39 columns
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CREATE TABLE icptof5 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof4

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof4
  • 224 KB
  • 7777 rows
  • 39 columns
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CREATE TABLE icptof4 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "co" DOUBLE,
  "ni" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof10

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof10
  • 473.15 KB
  • 21133 rows
  • 39 columns
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CREATE TABLE icptof10 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Conversion

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.conversion
  • 7.42 KB
  • 11 rows
  • 9 columns
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CREATE TABLE conversion (
  "file_name" VARCHAR,
  "real_sample_name" VARCHAR,
  "sample_type_st" VARCHAR,
  "dilution_factor_df" BIGINT,
  "transport_efficiency_te" DOUBLE,
  "liquid_flow_lf_ml_min" DOUBLE,
  "acquisition_time_min" BIGINT,
  "extraction_volume_ml" BIGINT,
  "extracted_mass_g" DOUBLE
);

Icptof8

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof8
  • 327.11 KB
  • 13889 rows
  • 39 columns
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CREATE TABLE icptof8 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Conversion Copy

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.conversion_copy
  • 7.42 KB
  • 11 rows
  • 9 columns
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CREATE TABLE conversion_copy (
  "file_name" VARCHAR,
  "real_sample_name" VARCHAR,
  "sample_type_st" VARCHAR,
  "dilution_factor_df" BIGINT,
  "transport_efficiency_te" DOUBLE,
  "liquid_flow_lf_ml_min" DOUBLE,
  "acquisition_time_min" BIGINT,
  "extraction_volume_ml" BIGINT,
  "extracted_mass_g" DOUBLE
);

Density

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.density
  • 23.18 KB
  • 3 rows
  • 37 columns
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CREATE TABLE density (
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof6

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof6
  • 199.73 KB
  • 8149 rows
  • 39 columns
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CREATE TABLE icptof6 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof3

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof3
  • 144.29 KB
  • 5385 rows
  • 39 columns
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CREATE TABLE icptof3 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "co" DOUBLE,
  "ni" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" VARCHAR,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" VARCHAR,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" VARCHAR,
  "tb" DOUBLE,
  "dy" VARCHAR,
  "ho" VARCHAR,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" VARCHAR,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof2

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof2
  • 71.93 KB
  • 1981 rows
  • 39 columns
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CREATE TABLE icptof2 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "co" DOUBLE,
  "ni" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" VARCHAR,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" VARCHAR,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" VARCHAR,
  "eu" VARCHAR,
  "gd" VARCHAR,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" VARCHAR,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" VARCHAR,
  "ta" VARCHAR,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof2 Copy

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof2_copy
  • 71.93 KB
  • 1981 rows
  • 39 columns
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CREATE TABLE icptof2_copy (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "co" DOUBLE,
  "ni" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" VARCHAR,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" VARCHAR,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" VARCHAR,
  "eu" VARCHAR,
  "gd" VARCHAR,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" VARCHAR,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" VARCHAR,
  "ta" VARCHAR,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof9

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof9
  • 493.87 KB
  • 22382 rows
  • 39 columns
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CREATE TABLE icptof9 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof11

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof11
  • 429.28 KB
  • 19732 rows
  • 39 columns
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CREATE TABLE icptof11 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" VARCHAR,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Density Copy

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.density_copy
  • 23.18 KB
  • 3 rows
  • 37 columns
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CREATE TABLE density_copy (
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "ni" DOUBLE,
  "co" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" DOUBLE,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" DOUBLE,
  "ce" DOUBLE,
  "pr" DOUBLE,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" DOUBLE,
  "gd" DOUBLE,
  "tb" DOUBLE,
  "dy" DOUBLE,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" DOUBLE,
  "lu" DOUBLE,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

Icptof1

@kaggle.rupindersinghrana_tracking_the_fate_of_real_life_model_5939233d.icptof1
  • 66.33 KB
  • 1906 rows
  • 39 columns
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CREATE TABLE icptof1 (
  "index" BIGINT,
  "timestamp_s" DOUBLE,
  "al" DOUBLE,
  "si" DOUBLE,
  "ti" DOUBLE,
  "cr" DOUBLE,
  "mn" DOUBLE,
  "fe" DOUBLE,
  "co" DOUBLE,
  "ni" DOUBLE,
  "cu" DOUBLE,
  "zn" DOUBLE,
  "zr" DOUBLE,
  "nb" DOUBLE,
  "mo" DOUBLE,
  "cd" VARCHAR,
  "sn" DOUBLE,
  "sb" DOUBLE,
  "ba" DOUBLE,
  "la" VARCHAR,
  "ce" DOUBLE,
  "pr" VARCHAR,
  "nd" DOUBLE,
  "sm" DOUBLE,
  "eu" VARCHAR,
  "gd" VARCHAR,
  "tb" VARCHAR,
  "dy" VARCHAR,
  "ho" DOUBLE,
  "er" DOUBLE,
  "tm" DOUBLE,
  "yb" VARCHAR,
  "lu" VARCHAR,
  "hf" DOUBLE,
  "ta" DOUBLE,
  "w" DOUBLE,
  "au" DOUBLE,
  "pb" DOUBLE,
  "th" DOUBLE
);

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