nl2sqlproj/spider2-nl2sql huggingface dataset:
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.dar_intersectional_attrition_index`
(
  workforce STRING OPTIONS(description="Overall and sub-categories"),
  report_year INT64 OPTIONS(description="The year the report was published"),
  gender_us STRING OPTIONS(description="Gender of Googler exits in the U.S."),
  race_asian INT64 OPTIONS(description="The attrition index score of Googlers in the U.S. who identify as Asian and zero or more other races"),
  race_black INT64 OPTIONS(description="The attrition index score of Googlers in the U.S. who identify as Black and zero or more other races"),
  race_hispanic_latinx INT64 OPTIONS(description="The attrition index score of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"),
  race_native_american INT64 OPTIONS(description=" The attrition index score of Googlers in the U.S. who identify as Native American and zero or more other races"),
  race_white INT64 OPTIONS(description="The attrition index score of Googlers in the U.S. who identify as White and zero or more other races")
)
OPTIONS(
  description="This table contains the attrition index score of Googlers in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
);

INSERT INTO `bigquery-public-data.google_dei.dar_intersectional_attrition_index` (workforce, report_year, gender_us, race_asian, race_black, race_hispanic_latinx, race_native_american, race_white) VALUES ('non_tech', 2018, 'women', 88, 68, 78, 124, 96), ('overall', 2018, 'women', 73, 90, 92, 100, 103), ('non_tech', 2018, 'men', 108, 122, 115, 140, 106), ('overall', 2018, 'men', 92, 145, 117, 140, 112), ('tech', 2018, 'women', 65, 124, 118, 31, 102);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.dar_intersectional_representation`
(
  workforce STRING OPTIONS(description="Overall and sub-categories"),
  report_year INT64 OPTIONS(description="The year the report was published"),
  gender_us STRING OPTIONS(description="Gender"),
  race_asian FLOAT64 OPTIONS(description="The percentage of Googlers in the U.S. who identify as Asian and zero or more other races"),
  race_black FLOAT64 OPTIONS(description="The percentage of Googlers in the U.S. who identify as Black and zero or more other races"),
  race_hispanic_latinx FLOAT64 OPTIONS(description="The percentage of Googlers in the U.S. who identify as Hispanic or Latinx and zero or more other races"),
  race_native_american FLOAT64 OPTIONS(description="The percentage of Googlers in the U.S. who identify as Native American and zero or more other races"),
  race_white FLOAT64 OPTIONS(description="The percentage of Googlers in the U.S. who identify as White and zero or more other races")
)
OPTIONS(
  description="This table contains the representation of Googlers in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
);

INSERT INTO `bigquery-public-data.google_dei.dar_intersectional_representation` (workforce, report_year, gender_us, race_asian, race_black, race_hispanic_latinx, race_native_american, race_white) VALUES ('leadership', 2021, 'women', 0.087, 0.013, 0.014, nan, 0.178), ('leadership', 2021, 'men', 0.207, 0.018, 0.025, nan, 0.477), ('leadership', 2014, 'women', 0.061, 0.01, 0.004, 0.001, 0.143), ('leadership', 2020, 'men', 0.211, 0.015, 0.022, 0.002, 0.491), ('leadership', 2023, 'women', 0.106, 0.024, 0.016, 0.003, 0.189);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.dar_intersectional_exits_representation`
(
  workforce STRING OPTIONS(description="Overall and sub-categories"),
  report_year INT64 OPTIONS(description="The year the report was published"),
  gender_us STRING OPTIONS(description="Gender of Googler exits in the U.S."),
  race_asian FLOAT64 OPTIONS(description="The percentage of Googler exits in the U.S. who identify as Asian and zero or more other races"),
  race_black FLOAT64 OPTIONS(description="The percentage of Googler exits in the U.S. who identify as Black and zero or more other races"),
  race_hispanic_latinx FLOAT64 OPTIONS(description="The percentage of Googler exits in the U.S. who identify as Hispanic or Latinx and zero or more other races"),
  race_native_american FLOAT64 OPTIONS(description="The percentage of Googler exits in the U.S. who identify as Native American and zero or more other races"),
  race_white FLOAT64 OPTIONS(description="The percentage of Googler exits in the U.S. who identify as White and zero or more other races")
)
OPTIONS(
  description="This table contains the breakdown of Googler exits in the U.S. cut by race and gender combined. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
);

INSERT INTO `bigquery-public-data.google_dei.dar_intersectional_exits_representation` (workforce, report_year, gender_us, race_asian, race_black, race_hispanic_latinx, race_native_american, race_white) VALUES ('non_tech', 2023, 'women', 0.12, 0.069, 0.041, 0.007, 0.256), ('non_tech', 2022, 'women', 0.12, 0.052, 0.049, 0.004, 0.268), ('non_tech', 2024, 'men', 0.088, 0.062, 0.051, 0.007, 0.271), ('non_tech', 2020, 'women', 0.109, 0.042, 0.048, 0.01, 0.281), ('non_tech', 2019, 'women', 0.125, 0.026, 0.033, 0.007, 0.29);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.dar_region_non_intersectional_representation`
(
  workforce STRING OPTIONS(description="Overall and sub-categories"),
  report_year INT64 OPTIONS(description="The year the report was published"),
  region STRING OPTIONS(description="Region"),
  race_asian FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as Asian and zero or more other racesion"),
  race_black_african FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as Black or African and zero or more other races"),
  race_hispanic_latino_latinx FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as Hispanic, Latino, or Latinx and zero or more other races"),
  race_indigenous FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as Indigenous and zero or more other races"),
  race_mena FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as Middle Eastern or North African and zero or more other races"),
  race_white_european FLOAT64 OPTIONS(description="The percentage of Googlers in the region who identify as White or European and zero or more other races"),
  gender_women FLOAT64 OPTIONS(description="The percentage of Googlers in the region who are women"),
  gender_men FLOAT64 OPTIONS(description="The percentage of Googlers in the region who are men")
)
OPTIONS(
  description="This table contains the representation of Googlers by region (Americas, APAC, and EMEA) cut by race and gender. “Americas” includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
);

INSERT INTO `bigquery-public-data.google_dei.dar_region_non_intersectional_representation` (workforce, report_year, region, race_asian, race_black_african, race_hispanic_latino_latinx, race_indigenous, race_mena, race_white_european, gender_women, gender_men) VALUES ('tech', 2022, 'EMEA', nan, nan, nan, nan, nan, nan, 0.218, 0.782), ('tech', 2022, 'APAC', nan, nan, nan, nan, nan, nan, 0.227, 0.774), ('tech', 2021, 'AMERICAS (non-US)', nan, nan, nan, nan, nan, nan, 0.185, 0.815), ('non_tech', 2021, 'AMERICAS (non-US)', nan, nan, nan, nan, nan, nan, 0.443, 0.557), ('non_tech', 2021, 'EMEA', nan, nan, nan, nan, nan, nan, 0.488, 0.512);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.dar_region_non_intersectional_hiring`
(
  workforce STRING OPTIONS(description="Overall and sub-categories"),
  report_year INT64 OPTIONS(description="The year the report was published"),
  region STRING OPTIONS(description=" Region"),
  gender_women FLOAT64 OPTIONS(description="The percentage of Googlers hired in the region who are women"),
  gender_men FLOAT64 OPTIONS(description="The percentage of Googlers hired in the region who are men")
)
OPTIONS(
  description="This table contains the breakdown of Googlers hired by region (Americas, APAC, and EMEA) cut by gender. “Americas” includes all countries in North and South America in which we operate, excluding the U.S. Some data may be intentionally redacted due to security and privacy restrictions regarding smaller n-counts. In those cases, the data is displayed as a null value."
);

INSERT INTO `bigquery-public-data.google_dei.dar_region_non_intersectional_hiring` (workforce, report_year, region, gender_women, gender_men) VALUES ('leadership', 2023, 'AMERICAS (non-US)', nan, 0.75), ('leadership', 2022, 'AMERICAS (non-US)', nan, nan), ('leadership', 2021, 'AMERICAS (non-US)', nan, 0.75), ('leadership', 2024, 'AMERICAS (non-US)', nan, nan), ('non_tech', 2021, 'AMERICAS (non-US)', 0.41, 0.59);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.google_dei.full_csv-latest-data-is-2023`
(
  year INT64,
  sector STRING,
  subsector STRING,
  industry_group STRING,
  industry STRING,
  total_employed_in_thousands INT64,
  percent_women FLOAT64,
  percent_white FLOAT64,
  percent_black_or_african_american FLOAT64,
  percent_asian FLOAT64,
  percent_hispanic_or_latino FLOAT64
);

INSERT INTO `bigquery-public-data.google_dei.full_csv-latest-data-is-2023` (year, sector, subsector, industry_group, industry, total_employed_in_thousands, percent_women, percent_white, percent_black_or_african_american, percent_asian, percent_hispanic_or_latino) VALUES (2022, 'Education and health services', NULL, NULL, NULL, 35377, 0.746, 0.745, 0.154, 0.068, 0.137), (2021, 'Education and health services', NULL, NULL, NULL, 34725, 0.743, 0.752, 0.148, 0.067, 0.133), (2023, 'Manufacturing', NULL, NULL, NULL, 15570, 0.295, 0.784, 0.10800000000000001, 0.076, 0.18100000000000002), (2021, 'Transportation and utilities', NULL, NULL, NULL, 9377, 0.248, 0.712, 0.196, 0.055, 0.201), (2021, 'Total, 16 years and over', NULL, NULL, NULL, 152581, 0.47, 0.78, 0.12, 0.66, 0.18);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.MolClinBreak`
(
  MolClin STRING OPTIONS(description="flag indicating either molecular 'M', or clinical 'C'"),
  RefNo INT64 OPTIONS(description="reference number, eg '15563'"),
  InvNo INT64 OPTIONS(description="investigation number, usually between 1 and 10"),
  OrderNo INT64 OPTIONS(description="order number, between 1 and 68"),
  Breakpoint STRING OPTIONS(description="breakpoint description, eg '19p13' or '12q2?3', etc")
);

INSERT INTO `mitelman-db.prod.MolClinBreak` (MolClin, RefNo, InvNo, OrderNo, Breakpoint) VALUES ('C', 579, 1, 1, '1'), ('C', 2514, 1, 1, '1'), ('C', 5581, 1, 1, '1'), ('C', 6551, 1, 1, '1'), ('C', 7542, 1, 1, '1');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.Koder`
(
  Kod STRING OPTIONS(description="this field contains the 'code' which can be something like '5230' or '02' or 'O' -- there are 470 unique codes"),
  KodTyp STRING OPTIONS(description="this field indicates the type of the code -- there are 7 types: 'MORPH' (morphology), 'GEO' (geography), 'TOP' (topography), 'HER' (heredity), 'TISSUE', 'TREAT' (treatment), and 'RACE'"),
  Aktiv STRING OPTIONS(description="whether or not this code is active -- almost always 'J' (yes), but is 'N' once and blank once"),
  Intern STRING OPTIONS(description="whether or not this code is internal -- almost always 'J' (yes), but is 'N' once and blank once"),
  Benamning STRING OPTIONS(description="the 'long' name corresponding to this code, eg 'Vascular and perivascular tumors (all subtypes)'"),
  Kortnamn STRING OPTIONS(description="the 'short' name corresponding to this code, eg 'Adipo'"),
  Notering STRING OPTIONS(description="this field is always blank"),
  Inregdatum STRING OPTIONS(description="this field contains a date, eg 'Jul 7 2000 12:00AM' or 'Jan 9 2014 12:00AM'"),
  GiltigFran STRING OPTIONS(description="this field appears to contain the same date"),
  GiltigTill STRING OPTIONS(description="this field contains a date far into the future, eg 'Dec 27 2063 12:00AM'"),
  Flagga1 STRING OPTIONS(description="unknown field -- either blank (443 rows) or '1' (41 rows)"),
  Flagga2 STRING OPTIONS(description="this field is always blank"),
  Flagga3 STRING OPTIONS(description="this field is always blank"),
  Flagga4 STRING OPTIONS(description="this field is always blank")
);

INSERT INTO `mitelman-db.prod.Koder` (Kod, KodTyp, Aktiv, Intern, Benamning, Kortnamn, Notering, Inregdatum, GiltigFran, GiltigTill, Flagga1, Flagga2, Flagga3, Flagga4) VALUES (' ', 'GEO', ' ', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL), ('1000', 'GEO', 'J', 'N', 'Africa unspec', 'Afr', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL), ('1075', 'GEO', 'J', 'N', 'Tunisia', 'TN', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL), ('2000', 'GEO', 'J', 'N', 'Latin America unspec', 'Lat Am', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL), ('2043', 'GEO', 'J', 'N', 'Dominican Republic', 'DO', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.KaryBit`
(
  RefNo INT64 OPTIONS(description="reference number"),
  CaseNo STRING OPTIONS(description="case number, usually an integer but can be a string, eg 'A11'"),
  InvNo INT64 OPTIONS(description="investigation number"),
  CloneNo INT64 OPTIONS(description="clone number"),
  OrderNo INT64 OPTIONS(description="order number"),
  Bit STRING OPTIONS(description="karyotype 'bit', eg '46', or 'Xy', or 'idem', etc")
);

INSERT INTO `mitelman-db.prod.KaryBit` (RefNo, CaseNo, InvNo, CloneNo, OrderNo, Bit) VALUES (500, '1', 1, 1, 1, '??'), (524, '1', 1, 1, 1, '??'), (623, '1', 1, 1, 1, '??'), (631, '1', 1, 1, 1, '??'), (632, '1', 1, 1, 1, '??');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.CytogenInvValid`
(
  RefNo INT64 OPTIONS(description="reference number"),
  CaseNo STRING OPTIONS(description="case number -- usually an intger, but can also be an arbitrary string"),
  InvNo INT64 OPTIONS(description="investigation number -- always an integer between 1 and 9"),
  KaryLength INT64 OPTIONS(description="length of the karyotype description -- can be as long as thousands of characters, but is usually < 30"),
  KaryShort STRING OPTIONS(description="short (possibly truncated) karyotype description"),
  KaryLong STRING OPTIONS(description="if the karyotype description exceeds a certain length, the full string is in this column, otherwise this field is null"),
  Message STRING OPTIONS(description="Indicates if the karyotype has been corrected by the syntax checker"),
  Reason STRING OPTIONS(description="Error Messages"),
  CytoConvInput STRING OPTIONS(description="A full karyotype value adjusted to work with CytoConverter's tool")
);

INSERT INTO `mitelman-db.prod.CytogenInvValid` (RefNo, CaseNo, InvNo, KaryLength, KaryShort, KaryLong, Message, Reason, CytoConvInput) VALUES (17264, '403', 1, 256, '45,XY,der(4)t(4;11)(p15;q21)t(4;11)(q13;q21)t(4;11)(q13;q14),der(5)t(5;17)(q11;q11),del(7)(q22q36),der(9)t(9;15)(q34;q26),r(11)(p11q11),der(15)t(11;15)(q14;p11)t(11;15)(q14;q14),der(16)t(15;16)(q21;q24)t(12;15)(q24;q21),del(17)(q11),der(20)t(4;20)(p15;p11', '45,XY,der(4)t(4;11)(p15;q21)t(4;11)(q13;q21)t(4;11)(q13;q14),der(5)t(5;17)(q11;q11),del(7)(q22q36),der(9)t(9;15)(q34;q26),r(11)(p11q11),der(15)t(11;15)(q14;p11)t(11;15)(q14;q14),der(16)t(15;16)(q21;q24)t(12;15)(q24;q21),del(17)(q11),der(20)t(4;20)(p15;p11)', 'Original', ' ', '45,XY,der(4)t(4;11)(p15;q21)t(4;11)(q13;q21)t(4;11)(q13;q14),der(5)t(5;17)(q11;q11),del(7)(q22q36),der(9)t(9;15)(q34;q26),r(11)(p11q11),der(15)t(11;15)(q14;p11)t(11;15)(q14;q14),der(16)t(15;16)(q21;q24)t(12;15)(q24;q21),del(17)(q11),der(20)t(4;20)(p15;p11)'), (14318, '6', 3, 256, '46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11)/46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11),der(16)t(16;22)(q24;q11', '46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11)/46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11),der(16)t(16;22)(q24;q11)', 'Has been altered', ' ', '46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11)/46,XY,der(8)t(8;9)(p22;p24)t(8;22)(q24;q11),der(9)t(8;9)(p21;p24)x2,der(21)t(1;21)(q21;p11),der(22)t(8;22)(q24;q11),der(16)t(16;22)(q24;q11)'), (11275, '1', 1, 0, ' ', ' ', 'Original', ' ', ' '), (7355, '1', 1, 0, ' ', ' ', 'Original', ' ', ' '), (12035, '7', 1, 0, ' ', ' ', 'Original', ' ', ' ');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.RecurrentNumData`
(
  Chromosome STRING OPTIONS(description="number between 1 and 48"),
  Abnormality STRING OPTIONS(description="abnormality description, eg '-22', or '-X', or '+15', etc"),
  Morph STRING OPTIONS(description="morphology code, eg '3111'"),
  Topo STRING OPTIONS(description="topography code, eg '0902' (or blank)"),
  TotalCases STRING OPTIONS(description="total number of cases (up to 2211)"),
  ChrOrder INT64 OPTIONS(description="numeric order of the chromosome")
);

INSERT INTO `mitelman-db.prod.RecurrentNumData` (Chromosome, Abnormality, Morph, Topo, TotalCases, ChrOrder) VALUES ('1', '+1', '1101', NULL, '182', 1), ('1', '+1', '1104', NULL, '37', 1), ('1', '+1', '1107', NULL, '32', 1), ('1', '+1', '1112', NULL, '37', 1), ('1', '+1', '1202', NULL, '36', 1);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.RecurrentData`
(
  Chromosome STRING OPTIONS(description="chromosome number (1- 22, X or Y)"),
  Arm STRING OPTIONS(description="arm of the chromosome (p or q)"),
  Band STRING OPTIONS(description="position of the gene on the p or q arm"),
  Abnormality STRING OPTIONS(description="abnormality description, eg 'add(19)(q13)' or 'del(20)(q11q13)'"),
  Morph STRING OPTIONS(description="morphology code, eg '1602'"),
  Topo STRING OPTIONS(description="topography code, eg '0902' (or blank)"),
  TotalCases STRING OPTIONS(description="total number of cases (up to 2150)"),
  Gene STRING OPTIONS(description="gene symbol(s), eg 'KMT2A+' or 'BCR/ABL1' or blank"),
  ChrOrder INT64 OPTIONS(description="numeric order of the chromosome"),
  Type STRING OPTIONS(description="indicate balanced ('B') or unbalanced ('U')")
);

INSERT INTO `mitelman-db.prod.RecurrentData` (Chromosome, Arm, Band, Abnormality, Morph, Topo, TotalCases, Gene, ChrOrder, Type) VALUES ('Y', 'q', '10', 'i(Y)(q10)', '1820', NULL, '2', NULL, 24, 'U'), ('1', 'q', '10', 'der(1;2)(q10;p10)', '1702', NULL, '2', NULL, 1, 'U'), ('1', 'q', '10', 'der(1;2)(q10;q10)', '8804', '0801', '2', NULL, 1, 'U'), ('1', 'q', '10', 'der(1;3)(q10;q10)', '1702', NULL, '2', NULL, 1, 'U'), ('1', 'q', '10', 'der(1;3)(q10;q10)', '3111', '0401', '2', NULL, 1, 'U');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.KaryAbnorm`
(
  RefNo INT64 OPTIONS(description="reference number, eg '14620'"),
  CaseNo STRING OPTIONS(description="case number, most frequently an integer between 1 and 10, but can also be an arbitrary string, eg '11H046'"),
  InvNo INT64 OPTIONS(description="investigation number (between 1 and 9)"),
  CloneNo INT64 OPTIONS(description="clone number (between 1 and 58)"),
  OrderNo INT64 OPTIONS(description="order number (between 1 and 198)"),
  Abnormality STRING OPTIONS(description="eg '46', or 'XY', or 'XX', or '-22', etc")
);

INSERT INTO `mitelman-db.prod.KaryAbnorm` (RefNo, CaseNo, InvNo, CloneNo, OrderNo, Abnormality) VALUES (401, '109', 1, 1, 1, '??'), (737, '105', 1, 1, 1, '??'), (737, '124', 1, 1, 1, '??'), (737, '63', 1, 1, 1, '??'), (737, '66', 1, 1, 1, '??');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.KaryClone`
(
  RefNo INT64 OPTIONS(description="reference number, eg '14620'"),
  CaseNo STRING OPTIONS(description="case number, usually between 1 and 10, but can also be an arbitrary string, eg 'A11'"),
  InvNo INT64 OPTIONS(description="investigation number, between 1 and 9"),
  CloneNo INT64 OPTIONS(description="clone number, between 1 and 58"),
  ChromoMin INT64 OPTIONS(description="most common values are between '42' and '51', but minimum value is '0' and maximum is '409'"),
  ChromoMax INT64 OPTIONS(description="most common values are between '43' and '52', but minimum value is '0' and maximum is '409'"),
  CloneShort STRING OPTIONS(description="shorter, sometimes truncated clone description, eg '45,X,-Y' or '46,Xy,t(8;21)(q22;q22)'"),
  CloneLong STRING OPTIONS(description="usually blank, but if the clone description is very long, that string will be stored here"),
  CloneLength INT64 OPTIONS(description="length of clone description string -- usually between 8 and 24 characters, but can be up to 2199 characters"),
  Sole STRING OPTIONS(description="T/F flag indicating whether or not this is the sole abnormality")
);

INSERT INTO `mitelman-db.prod.KaryClone` (RefNo, CaseNo, InvNo, CloneNo, ChromoMin, ChromoMax, CloneShort, CloneLong, CloneLength, Sole) VALUES (3822, '1', 1, 5, 45, 45, '45,X,-X', NULL, 7, 'T'), (4018, '33', 1, 6, 45, 45, '45,X,-X', NULL, 7, 'T'), (8240, '8B', 1, 7, 45, 45, '45,X,-X', NULL, 7, 'T'), (11389, '8', 1, 5, 45, 45, '45,X,-X', NULL, 7, 'T'), (9341, '5', 1, 9, 45, 45, '45,X,-Y', NULL, 7, 'T');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.CytogenInv`
(
  RefNo INT64 OPTIONS(description="reference number"),
  CaseNo STRING OPTIONS(description="case number -- usually an intger, but can also be an arbitrary string"),
  InvNo INT64 OPTIONS(description="investigation number -- always an integer between 1 and 9"),
  InvDate STRING OPTIONS(description="investigation date -- eg '19730327' or '20170627' but can also be blank or simply '1'"),
  Tissue STRING OPTIONS(description="one of: 'BM', 'TB', 'LN', 'EX', or 'CSF' or (rarely) blank"),
  Clones INT64 OPTIONS(description="an integer between 1 and 58"),
  KaryLength INT64 OPTIONS(description="length of the karyotype description -- can be as long as thousands of characters, but is usually < 30"),
  KaryShort STRING OPTIONS(description="short (possibly truncated) karyotype description"),
  KaryLong STRING OPTIONS(description="if the karyotype description exceeds a certain length, the full string is in this column, otherwise this field is null"),
  CaseOrder STRING OPTIONS(description="unknown integer field between 0 and 9638369")
);

INSERT INTO `mitelman-db.prod.CytogenInv` (RefNo, CaseNo, InvNo, InvDate, Tissue, Clones, KaryLength, KaryShort, KaryLong, CaseOrder) VALUES (23, '1', 1, '1', 'BM', 1, 72, '48,XX,t(9;22)(q34;q11),t(13;14)(q14;q24-32),+19,+der(22)t(9;22)(q34;q11)', NULL, '1'), (48, '1', 1, '1', 'BM', 1, 80, '52-54,XY,+3,+6,+7,+8,t(9;22)(q34;q11),+19,+21,+der(22)t(9;22)(q34;q11)x2,+1-3mar', NULL, '1'), (96, '1', 1, '1', 'LN', 1, 80, '48,XX,del(1)(q22q25),+ider(1)(q10)del(1)(q22q25),+5,del(12)(p12),dup(14)(q24q32)', NULL, '1'), (99, '1', 1, '1', 'LN', 1, 156, '82,XXX,-X,-1,-2,-4,del(6)(q21),-7,-9,t(9;15)(q11-12;p12),-10,-11,-11,-12,-13,-13,add(14)(q32),-15,-15,del(16)(q13),-17,-18,i(18)(p10),i(18)(q10),-19,-22,inc', NULL, '1'), (107, '1', 1, '1', 'TB', 1, 91, '54,XY,+del(2)(q11),t(2;14)(q11;q32),t(3;11)(p13;p15),+i(5)(p10),+8,+9,+12,+16,+17,+21,+2mar', NULL, '1');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.MolClinGene`
(
  MolClin STRING OPTIONS(description="flag indicating either molecular 'M', or clinical 'C'"),
  RefNo INT64 OPTIONS(description="reference number, eg '15563'"),
  InvNo INT64 OPTIONS(description="investigation number, usually between 1 and 10"),
  OrderNo INT64 OPTIONS(description="order number, between 1 and 15"),
  Prefix STRING OPTIONS(description="prefix string -- either blank or '+' "),
  Gene STRING OPTIONS(description="gene symbol(s), eg 'KMT2A' or 'BCR/ABL1'"),
  Suffix STRING OPTIONS(description="suffix string -- either blank or '+'")
);

INSERT INTO `mitelman-db.prod.MolClinGene` (MolClin, RefNo, InvNo, OrderNo, Prefix, Gene, Suffix) VALUES ('C', 3967, 1, 1, NULL, 'BCR::ABL1', NULL), ('C', 3976, 1, 1, NULL, 'BCR::ABL1', NULL), ('C', 3976, 2, 1, NULL, 'BCR::ABL1', NULL), ('C', 4541, 1, 1, NULL, 'PML::RARA', NULL), ('C', 4624, 1, 1, NULL, 'BCR::ABL1', NULL);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.KaryBreak`
(
  RefNo INT64 OPTIONS(description="reference number, eg '14617'"),
  CaseNo STRING OPTIONS(description="case number, usually between 1 and 10, but can also be an arbitrary string, eg 'A11'"),
  InvNo INT64 OPTIONS(description="investigation number, between 1 and 9"),
  CloneNo INT64 OPTIONS(description="clone number, between 1 and 58"),
  OrderNo INT64 OPTIONS(description="order number, between 1 and 392"),
  Breakpoint STRING OPTIONS(description="arbitrary string, eg '14q32', or '9', or '?10q?11'")
);

INSERT INTO `mitelman-db.prod.KaryBreak` (RefNo, CaseNo, InvNo, CloneNo, OrderNo, Breakpoint) VALUES (4169, '384', 1, 1, 1, '?'), (5553, '56', 1, 2, 1, '?'), (7703, '254', 1, 2, 1, '?'), (8463, '43', 1, 1, 1, '?'), (8473, '1B', 1, 1, 1, '?');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.Reference`
(
  RefNo INT64 OPTIONS(description="reference number from 10 to 15880"),
  TitleLength INT64 OPTIONS(description="length of title, up to 334"),
  TitleShort STRING OPTIONS(description="short or truncated title, eg aThe myeloperoxidase gene in acute promyelocytic leukemia'"),
  TitleLong STRING OPTIONS(description="blank for shorter titles, otherwise the full title is in this field"),
  Volume STRING OPTIONS(description="journal volume, eg '95:96-101'"),
  Year INT64 OPTIONS(description="publication year, eg '1998'"),
  Journal STRING OPTIONS(description="journal name abbreviation, eg 'Cancer Genet Cytogenet'"),
  Text STRING OPTIONS(description="this field is always blank"),
  Abbreviation STRING OPTIONS(description="author abbreviation, eg 'Park et al 2009'"),
  AuthorsLength STRING OPTIONS(description="author string length, up to 2411"),
  AuthorsShort STRING OPTIONS(description="short or truncated author string, eg 'Atkin NB, Baker MC'"),
  AuthorsLong STRING OPTIONS(description="blank or complete, long author string"),
  Flag STRING OPTIONS(description="this field is always blank"),
  Pubmed STRING OPTIONS(description="PubMed identifier, if available, eg '17334343'")
);

INSERT INTO `mitelman-db.prod.Reference` (RefNo, TitleLength, TitleShort, TitleLong, Volume, Year, Journal, Text, Abbreviation, AuthorsLength, AuthorsShort, AuthorsLong, Flag, Pubmed) VALUES (79, 130, 'An extra C chromosome and various metabolic abnormalities in the bone marrow from a patient with refractory sideroblastic anaemia.', NULL, '8:293-306', 1971, 'Scand J Haematol', NULL, 'Hellstrom et al 1971', '71', 'Hellstrom K, Hagenfeldt L, Larsson A, Lindsten J, Sundelin P, Tiepolo L', NULL, ' ', '5134476'), (114, 98, 'On the specificity of the G abnormality in human meningomas studied by the fluorescence technique.', NULL, '80:812-820', 1972, 'APMIS', NULL, 'Mark et al 1972', '27', 'Mark J, Mitelman F, Levan G', NULL, ' ', NULL), (32, 56, 'Identification of isochromosome 17 in myeloid leukaemia.', NULL, '(1):849-850', 1972, 'Lancet', NULL, 'Lobb et al 1972', '29', 'Lobb DS, Reeves BR, Lawler SD', NULL, ' ', '4111610'), (106, 56, 'Marker band in one chromosome 14 from Burkitt lymphomas.', NULL, '237:33-34', 1972, 'Nature', NULL, 'Manolov & Manolova 1972', '21', 'Manolov G, Manolova Y', NULL, ' ', '4113130'), (102, 60, 'Multiple chromosome aberrations in a lymphosarcomatous tumor', NULL, '70:243-258', 1972, 'Hereditas', NULL, 'Fleischmann et al 1972', '46', 'Fleischmann T, Hakansson CH, Levan A, Moller T', NULL, ' ', '4681795');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.CytoBands_hg38`
(
  chromosome STRING,
  cytoband_name STRING,
  hg38_start INT64,
  hg38_stop INT64
);

INSERT INTO `mitelman-db.prod.CytoBands_hg38` (chromosome, cytoband_name, hg38_start, hg38_stop) VALUES ('chr1', '1p36', 0, 27600000), ('chr1', '1p35', 27600000, 34300000), ('chr1', '1p34', 34300000, 46300000), ('chr1', '1p33', 46300000, 50200000), ('chr1', '1p32', 50200000, 60800000);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.CytoConvertedLog`
(
  RefNo INT64 NOT NULL,
  CaseNo STRING NOT NULL,
  InvNo INT64 NOT NULL,
  Clone INT64,
  Type STRING,
  Message STRING
);

INSERT INTO `mitelman-db.prod.CytoConvertedLog` (RefNo, CaseNo, InvNo, Clone, Type, Message) VALUES (777, '1', 1, 1, 'Warning', 'Warning in some chromosomes unaccounted for'), (5316, '1', 1, 1, 'Warning', 'Warning in some chromosomes unaccounted for'), (7214, '1', 1, 2, 'Warning', 'Warning in some chromosomes unaccounted for'), (7214, '1', 1, 3, 'Warning', 'Warning in some chromosomes unaccounted for'), (7214, '1', 1, 4, 'Warning', 'Warning in some chromosomes unaccounted for');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.CytoConverted`
(
  RefNo INT64 NOT NULL,
  CaseNo STRING NOT NULL,
  InvNo INT64 NOT NULL,
  Clone INT64 NOT NULL,
  Chr STRING,
  ChrOrd INT64,
  Start INT64,
  `End` INT64,
  Type STRING,
  CellsPresent STRING
);

INSERT INTO `mitelman-db.prod.CytoConverted` (RefNo, CaseNo, InvNo, Clone, Chr, ChrOrd, Start, End, Type, CellsPresent) VALUES (9843, '1', 1, 1, 'chr14', 14, 0, 50400000, 'Gain', 'unknown'), (1486, '3', 2, 1, 'chr14', 14, 0, 50400000, 'Gain', 'unknown'), (10708, '1', 1, 1, 'chr14', 14, 17200000, 50400000, 'Gain', 'unknown'), (7836, '32', 1, 2, 'chr14', 14, 0, 50400000, 'Gain', 'unknown'), (12067, '56', 1, 1, 'chr14', 14, 0, 50400000, 'Gain', 'unknown');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.MolClinAbnorm`
(
  MolClin STRING OPTIONS(description="flag indicating molecular 'M', or clinical 'C'"),
  RefNo INT64 OPTIONS(description="reference number, eg '15563'"),
  InvNo INT64 OPTIONS(description="investigation number, usually between 1 and 10"),
  OrderNo INT64 OPTIONS(description="order number, between 1 and 54"),
  Abnormality STRING OPTIONS(description="abnormality description, eg 't(19;19)(p13;p13)' or 'del(7)(q?)'")
);

INSERT INTO `mitelman-db.prod.MolClinAbnorm` (MolClin, RefNo, InvNo, OrderNo, Abnormality) VALUES ('C', 1696, 1, 1, 'r'), ('C', 2844, 1, 1, 'r'), ('C', 4556, 1, 11, 'r'), ('C', 15564, 1, 1, 'r'), ('C', 15564, 2, 1, 'r');
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.MolBiolClinAssoc`
(
  MolClin STRING OPTIONS(description="this flag indicates whether this row describes a molecular 'M' or clinical 'C' association"),
  RefNo INT64 OPTIONS(description="reference number, eg '15563'"),
  InvNo INT64 OPTIONS(description="investigation number, usually between 1 and 10"),
  Morph STRING OPTIONS(description="morphology code, eg '3111'"),
  Topo STRING OPTIONS(description="topography code, eg '0401'"),
  Immunology STRING OPTIONS(description="immunology flag, usually blank, other values are 'B' or 'T'"),
  GeneLength STRING OPTIONS(description="length of gene string -- usually an integer between 0 and 15"),
  GeneShort STRING OPTIONS(description="gene symbol(s), eg 'BCR/ABL1', or 'IGH+', etc"),
  GeneLong STRING OPTIONS(description="this field is always blank (never needed)"),
  KaryLength INT64 OPTIONS(description="length of karyotype description string (up to 569)"),
  KaryShort STRING OPTIONS(description="short or truncated karyotype string, eg 't(19;19)(p13;p13)' or '+12,+19'"),
  KaryLong STRING OPTIONS(description="blank or long karyotype description")
);

INSERT INTO `mitelman-db.prod.MolBiolClinAssoc` (MolClin, RefNo, InvNo, Morph, Topo, Immunology, GeneLength, GeneShort, GeneLong, KaryLength, KaryShort, KaryLong) VALUES ('C', 2578, 1, '1501', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL), ('C', 2668, 1, '1602', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL), ('C', 2889, 1, '1602', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL), ('C', 2993, 1, '1501', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL), ('C', 2994, 1, '1602', ' ', ' ', NULL, NULL, NULL, NULL, NULL, NULL);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.AuthorReference`
(
  Refno INT64 OPTIONS(description="this reference number is always an integer, between 1 and 50000"),
  Name STRING OPTIONS(description="eg 'Mitelman F', or 'Rowley JD'"),
  NameOrder INT64 OPTIONS(description="an integer between 1 and 228, indicating the position of this author's name in the list of authors for this reference")
);

INSERT INTO `mitelman-db.prod.AuthorReference` (Refno, Name, NameOrder) VALUES (1, 'LUND UNPUBLISHED', 1), (1, 'LUND UNPUBLISHED', 1), (10, 'Hayata I', 1), (11, 'Hayata I', 1), (12, 'Muldal S', 1);
-- DBMS: bigquery
CREATE TABLE `mitelman-db.prod.Cytogen`
(
  RefNo INT64 OPTIONS(description="reference number (but treated as a string)"),
  CaseNo STRING OPTIONS(description="case number (usually a number, but can be a string, therefore treating as string)"),
  Sex STRING OPTIONS(description="one of 'M', 'F', or blank"),
  Age INT64 OPTIONS(description="can be blank, otherwise an integer between 0 and 100"),
  Race STRING OPTIONS(description="one of 'W', 'A', 'B', or 'O' (or blank)"),
  Series STRING OPTIONS(description="one of 'U', 'S', or 'D' (never blank)"),
  Country STRING OPTIONS(description="country code, eg '3020'"),
  PrevTum STRING OPTIONS(description="previous-tumor flag, either blank or 'Y'"),
  PrevMorph STRING OPTIONS(description="morphology code (eg '3111') for previous-tumor (frequently blank)"),
  PrevTopo STRING OPTIONS(description="topology code (eg '0401') for previous-tumor (frequently blank)"),
  PrevTreat STRING OPTIONS(description="one or more characters indicating previous treatment type(s), eg 'C', or 'C,R', or 'R,S' (or blank)"),
  HerDis STRING OPTIONS(description="hereditary disease code (eg '110')"),
  SpecHerDis STRING OPTIONS(description="specific hereditary disease, eg 'Fanconi anemia' or 'inv(9)(p11q13)'"),
  Morph STRING OPTIONS(description="morphology code, eg '1602'"),
  SpecMorph STRING OPTIONS(description="specific morphology, eg 'Aplastic anemia', or 'AML with cup-like nuclei'"),
  Topo STRING OPTIONS(description="topology code, eg '0902'"),
  Immunology STRING OPTIONS(description="most frequently blank, otherwise 'B' or 'T'"),
  SpecObs STRING OPTIONS(description="unknown/unnecessary field -- always blank"),
  Origin STRING OPTIONS(description="blank about half the time, otherwise 'L'"),
  PatientID STRING OPTIONS(description="unknown/unnecessary field -- always blank"),
  PatientName STRING OPTIONS(description="unknown/unnecessary field -- always blank"),
  CaseOrder INT64 OPTIONS(description="unknown integer field between 0 and 991807")
);

INSERT INTO `mitelman-db.prod.Cytogen` (RefNo, CaseNo, Sex, Age, Race, Series, Country, PrevTum, PrevMorph, PrevTopo, PrevTreat, HerDis, SpecHerDis, Morph, SpecMorph, Topo, Immunology, SpecObs, Origin, PatientID, PatientName, CaseOrder) VALUES (223, '1', 'M', 60, 'W', 'S', '3020', ' ', NULL, NULL, NULL, NULL, NULL, '1010', NULL, ' ', NULL, NULL, ' ', NULL, NULL, 1), (234, '4', 'F', 67, NULL, 'U', '6101', ' ', NULL, NULL, NULL, NULL, NULL, '1010', NULL, ' ', NULL, NULL, ' ', NULL, NULL, 4), (427, '1', 'F', 3, NULL, 'S', '5270', ' ', NULL, NULL, NULL, NULL, NULL, '1010', NULL, ' ', NULL, NULL, ' ', NULL, NULL, 1), (427, '2', 'F', 2, NULL, 'S', '5270', ' ', NULL, NULL, NULL, NULL, NULL, '1010', NULL, ' ', NULL, NULL, ' ', NULL, NULL, 2), (428, '1', 'M', 76, NULL, 'S', '5260', ' ', NULL, NULL, NULL, NULL, NULL, '1010', NULL, ' ', NULL, NULL, ' ', NULL, NULL, 1);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.openaq.global_air_quality`
(
  location STRING,
  city STRING,
  country STRING,
  pollutant STRING,
  value FLOAT64,
  timestamp TIMESTAMP,
  unit STRING,
  source_name STRING,
  latitude FLOAT64,
  longitude FLOAT64,
  averaged_over_in_hours FLOAT64,
  location_geom GEOGRAPHY
);

INSERT INTO `bigquery-public-data.openaq.global_air_quality` (location, city, country, pollutant, value, timestamp, unit, source_name, latitude, longitude, averaged_over_in_hours, location_geom) VALUES ('Parkway East (Near R', 'Pittsburgh', 'US', 'no', 0.00702121835289348, '2020-11-01 04:00:00+00:00', 'ppm', 'AirNow', 1.0, 40.437431, -79.863572, 'POINT(40.437431 1)'), ('Szczecinek, ul. Przemysłowa', 'Szczecinek', 'PL', 'bc', 2.08492, '2022-05-02 22:00:00+00:00', 'µg/m³', 'GIOS', 1.0, 53.698902, 16.704556, 'POINT(53.698902 1)'), ('Rybnik, ul. Borki', 'Rybnik', 'PL', 'bc', 0.12172, '2022-05-14 15:00:00+00:00', 'µg/m³', 'GIOS', 1.0, 50.111181, 18.516139, 'POINT(50.111181 1)'), ('Koszalin, ul. Armii Krajowej', 'Koszalin', 'PL', 'bc', 1.0956, '2022-04-30 15:00:00+00:00', 'µg/m³', 'GIOS', 1.0, 54.193986, 16.172544, 'POINT(54.193986 1)'), ('Gliwice, ul. Mewy', 'Gliwice', 'PL', 'bc', 0.29455, '2022-04-29 17:00:00+00:00', 'µg/m³', 'GIOS', 1.0, 50.279481, 18.655736, 'POINT(50.279481 1)');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1774`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1774` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('ITE00100554', '1774-12-15', 'TMAX', -3.0, NULL, NULL, 'E', NULL), ('ITE00100554', '1774-01-06', 'TMAX', -3.0, NULL, NULL, 'E', NULL), ('ITE00100554', '1774-12-12', 'TMAX', 4.0, NULL, NULL, 'E', NULL), ('ITE00100554', '1774-01-04', 'TMAX', -4.0, NULL, NULL, 'E', NULL), ('ITE00100554', '1774-01-05', 'TMAX', -4.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1959`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1959` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('ACW00011647', '1959-06-29', 'PRCP', 0.0, NULL, NULL, 'X', NULL), ('ACW00011647', '1959-08-11', 'PRCP', 15.0, NULL, NULL, 'X', NULL), ('ACW00011647', '1959-09-13', 'PRCP', 5.0, NULL, NULL, 'X', NULL), ('ACW00011647', '1959-10-03', 'PRCP', 0.0, 'T', NULL, 'X', NULL), ('ACW00011647', '1959-06-11', 'PRCP', 0.0, 'T', NULL, 'X', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1918`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1918` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('AGE00147704', '1918-12-31', 'PRCP', 30.0, NULL, NULL, 'E', NULL), ('AGE00147704', '1918-12-31', 'TMAX', 190.0, NULL, NULL, 'E', NULL), ('AGE00147706', '1918-12-31', 'PRCP', 297.0, NULL, NULL, 'E', NULL), ('AGE00147710', '1918-12-31', 'TMAX', 170.0, NULL, NULL, 'E', NULL), ('AGE00147720', '1918-01-01', 'TMIN', -20.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1963`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1963` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('USC00012813', '1963-12-15', 'DAEV', 2.0, NULL, NULL, '0', NULL), ('USC00025924', '1963-05-12', 'DAEV', 2.0, NULL, NULL, '0', NULL), ('USC00030764', '1963-03-07', 'DAEV', 2.0, NULL, NULL, '0', NULL), ('USC00041206', '1963-03-19', 'DAEV', 2.0, NULL, NULL, '0', NULL), ('USC00041206', '1963-11-14', 'DAEV', 3.0, NULL, NULL, '0', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1826`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1826` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('EZE00100082', '1826-06-13', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1826-07-13', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1826-07-19', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1826-08-09', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1826-09-08', 'PRCP', 0.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1934`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1934` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('ASN00007002', '1934-05-12', 'DAPR', 2.0, NULL, NULL, 'a', NULL), ('ASN00007012', '1934-07-08', 'DAPR', 2.0, NULL, NULL, 'a', NULL), ('ASN00008058', '1934-08-27', 'DAPR', 2.0, NULL, NULL, 'a', NULL), ('ASN00009007', '1934-11-05', 'DAPR', 2.0, NULL, NULL, 'a', NULL), ('ASN00009553', '1934-05-21', 'DAPR', 2.0, NULL, NULL, 'a', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1871`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1871` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('USW00024274', '1871-12-26', 'PRCP', 3.0, NULL, NULL, '0', '2400'), ('USW00024274', '1871-12-24', 'PRCP', 5.0, NULL, NULL, '0', '2400'), ('USW00024274', '1871-12-03', 'PRCP', 10.0, NULL, NULL, '0', '2400'), ('USW00024274', '1871-12-15', 'PRCP', 10.0, NULL, NULL, '0', '2400'), ('USW00024274', '1871-12-18', 'PRCP', 10.0, NULL, NULL, '0', '2400');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1888`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1888` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('AGE00135039', '1888-02-20', 'PRCP', 320.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1888-12-23', 'PRCP', 124.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1888-02-05', 'PRCP', 32.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1888-12-02', 'PRCP', 34.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1888-10-07', 'PRCP', -30.0, NULL, 'X', 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1922`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1922` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('AGE00135039', '1922-12-12', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1922-08-21', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1922-09-26', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1922-07-23', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1922-10-26', 'PRCP', 0.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1867`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1867` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('USC00298072', '1867-11-11', 'PRCP', 0.0, NULL, NULL, '0', NULL), ('USC00298072', '1867-10-08', 'PRCP', 0.0, NULL, NULL, '0', NULL), ('USC00298072', '1867-12-31', 'PRCP', 0.0, NULL, NULL, '0', NULL), ('USC00298072', '1867-11-17', 'PRCP', 0.0, NULL, NULL, '0', NULL), ('USC00298072', '1867-12-09', 'PRCP', 0.0, NULL, NULL, '0', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1975`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1975` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('USW00013957', '1975-06-01', 'ACMH', 0.0, NULL, NULL, 'X', NULL), ('USW00023185', '1975-07-12', 'ACMH', 0.0, NULL, NULL, 'X', NULL), ('USW00023174', '1975-12-23', 'ACMH', 0.0, NULL, NULL, 'X', NULL), ('USW00025503', '1975-12-01', 'ACMH', 0.0, NULL, NULL, 'X', NULL), ('USW00023230', '1975-07-26', 'ACMH', 0.0, NULL, NULL, 'X', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1830`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1830` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('ITE00100550', '1830-01-18', 'PRCP', 1277.0, NULL, 'O', 'E', NULL), ('EZE00100082', '1830-02-10', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1830-02-21', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1830-03-21', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1830-04-03', 'PRCP', 0.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1847`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1847` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('CA006158350', '1847-01-06', 'PRCP', 0.0, NULL, NULL, 'C', NULL), ('CA006158350', '1847-07-12', 'PRCP', 0.0, NULL, NULL, 'C', NULL), ('CA006158350', '1847-01-18', 'PRCP', 0.0, NULL, NULL, 'C', NULL), ('CA006158350', '1847-02-05', 'PRCP', 0.0, NULL, NULL, 'C', NULL), ('CA006158350', '1847-07-11', 'PRCP', 0.0, NULL, NULL, 'C', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1902`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1902` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('AGE00135039', '1902-05-27', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1902-05-23', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1902-03-03', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1902-09-02', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('AGE00135039', '1902-10-02', 'PRCP', -30.0, NULL, 'X', 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1778`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING OPTIONS(description=""),
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1778` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('EZE00100082', '1778-01-03', 'TMAX', 2.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1778-02-14', 'TMAX', -2.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1778-01-13', 'TMAX', 5.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1778-02-06', 'TMAX', 5.0, NULL, NULL, 'E', NULL), ('EZE00100082', '1778-02-13', 'TMAX', 5.0, NULL, NULL, 'E', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_2011`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
)
OPTIONS(
  description="http://www1.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt"
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_2011` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('USC00295968', '2011-02-16', 'AWND', 0.0, NULL, NULL, '7', NULL), ('USC00418862', '2011-10-23', 'AWND', 0.0, NULL, NULL, '7', NULL), ('USC00052668', '2011-02-07', 'EVAP', 0.0, NULL, NULL, '7', '0830'), ('USC00235050', '2011-03-16', 'EVAP', 0.0, NULL, NULL, '7', NULL), ('USC00220021', '2011-03-22', 'EVAP', 0.0, NULL, NULL, '7', '0600');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.ghcn_d.ghcnd_1797`
(
  id STRING NOT NULL,
  date DATE,
  element STRING,
  value FLOAT64,
  mflag STRING,
  qflag STRING,
  sflag STRING,
  time STRING
);

INSERT INTO `bigquery-public-data.ghcn_d.ghcnd_1797` (id, date, element, value, mflag, qflag, sflag, time) VALUES ('GM000010962', '1797-02-21', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('GM000010962', '1797-03-04', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('GM000010962', '1797-08-29', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('GM000010962', '1797-09-07', 'PRCP', 0.0, NULL, NULL, 'E', NULL), ('GM000010962', '1797-11-04', 'PRCP', 0.0, NULL, NULL, 'E', NULL);