nl2sqlproj/spider2-nl2sql huggingface dataset:
-- DBMS: bigquery
CREATE TABLE `fh-bigquery.hackernews.stories`
(
  id INT64,
  `by` STRING,
  score INT64,
  time INT64,
  time_ts TIMESTAMP,
  title STRING,
  url STRING,
  text STRING,
  deleted BOOL,
  dead BOOL,
  descendants INT64,
  author STRING
)
OPTIONS(
  description="Now updated daily, see https://medium.com/@hoffa/hacker-news-on-bigquery-now-with-daily-updates-so-what-are-the-top-domains-963d3c68b2e2"
);

INSERT INTO `fh-bigquery.hackernews.stories` (id, by, score, time, time_ts, title, url, text, deleted, dead, descendants, author) VALUES (7410144, 'rockon', 0, 1394988993, '2014-03-16 16:56:33+00:00', 'Listen it u will be lost', 'http://www.youtube.com/watch?v=GESIB07mm0s&list=UUQz08J7eyH4y5HRmvrn7Mng', 'for soul of ur body', NULL, True, NULL, 'rockon'), (6738730, 'unuzero', 0, 1384512667, '2013-11-15 10:51:07+00:00', 'The ultimate guide to everything Dribbble', 'http://www.webdesignerdepot.com/2013/11/the-ultimate-guide-to-everything-dribbble/', 'Dribbble it’s a place for designers to show off their designs, discover and explore the work of others, and even find more work.Based in Salem, Massachusetts, Dribbble has gone from an enterprising side project to a small but profitable company. Designers and artists of all kinds use the site, including web designers, graphic designers, typographers, illustrators, logo designers, icon artists, and other creatives.Beyond the Dribbble website, there are also Dribbble Meetups, as well as a blog, Instagram feed, Dribbble on Facebook and Twitter, and more.Dribbble has terminology largely based around basketball. Here’s a quick primer', NULL, True, NULL, 'unuzero'), (7410550, 'jeassonlens', 0, 1394994498, '2014-03-16 18:28:18+00:00', 'Fastest Growing Skin Care Supplement for Increased Hair, Skin and Nail Nourishment', 'http://naturosciences.com/', 'Naturo Sciences is a health &amp; beauty specialist company, with a goal to provide the best possible nutritional supplements on the market, made with the purest ingredients and delivered to their customers as fresh as the date of production.', NULL, True, NULL, 'jeassonlens'), (4724746, 'kogir', 0, 1401561740, '2014-05-31 18:42:20+00:00', 'Placeholder', '', 'Mind the gap.', NULL, NULL, 0, 'kogir'), (3945301, 'kogir', 0, 1401561740, '2014-05-31 18:42:20+00:00', 'Placeholder', '', 'Mind the gap.', NULL, NULL, 0, 'kogir');
-- DBMS: bigquery
CREATE TABLE `fh-bigquery.hackernews.storiesV2`
(
  title STRING,
  url STRING,
  text STRING,
  dead BOOL,
  `by` STRING,
  score INT64,
  time INT64,
  timestamp TIMESTAMP,
  type STRING,
  id INT64,
  parent INT64,
  descendants INT64,
  ranking INT64,
  deleted BOOL,
  fake_date DATE
)
PARTITION BY fake_date
CLUSTER BY id;

INSERT INTO `fh-bigquery.hackernews.storiesV2` (title, url, text, dead, by, score, time, timestamp, type, id, parent, descendants, ranking, deleted, fake_date) VALUES (NULL, NULL, NULL, NULL, NULL, NULL, 1472801718, '2016-09-02 07:35:18+00:00', 'story', 12411517, NULL, NULL, NULL, True, '2000-01-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1476967673, '2016-10-20 12:47:53+00:00', 'story', 12751744, NULL, NULL, NULL, True, '2000-01-01'), (NULL, NULL, NULL, True, NULL, NULL, 1480589874, '2016-12-01 10:57:54+00:00', 'story', 13078599, NULL, NULL, NULL, True, '2000-01-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1487247930, '2017-02-16 12:25:30+00:00', 'story', 13659354, NULL, NULL, NULL, True, '2000-01-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1491480553, '2017-04-06 12:09:13+00:00', 'story', 14049810, NULL, NULL, NULL, True, '2000-01-01');
-- DBMS: bigquery
CREATE TABLE `fh-bigquery.hackernews.full_partitioned`
(
  title STRING,
  url STRING,
  text STRING,
  dead BOOL,
  `by` STRING,
  score INT64,
  time INT64,
  timestamp TIMESTAMP,
  type STRING,
  id INT64,
  parent INT64,
  descendants INT64,
  ranking INT64,
  deleted BOOL,
  month DATE
)
PARTITION BY month
CLUSTER BY type;

INSERT INTO `fh-bigquery.hackernews.full_partitioned` (title, url, text, dead, by, score, time, timestamp, type, id, parent, descendants, ranking, deleted, month) VALUES (NULL, NULL, NULL, NULL, NULL, NULL, 1472326167, '2016-08-27 19:29:27+00:00', 'story', 12373781, NULL, NULL, NULL, True, '2016-08-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1470341395, '2016-08-04 20:09:55+00:00', 'story', 12228099, NULL, NULL, NULL, True, '2016-08-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1472562618, '2016-08-30 13:10:18+00:00', 'story', 12389684, NULL, NULL, NULL, True, '2016-08-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1470326453, '2016-08-04 16:00:53+00:00', 'story', 12226432, NULL, NULL, NULL, True, '2016-08-01'), (NULL, NULL, NULL, NULL, NULL, NULL, 1472303376, '2016-08-27 13:09:36+00:00', 'story', 12372192, NULL, NULL, NULL, True, '2016-08-01');
-- DBMS: bigquery
CREATE TABLE `fh-bigquery.hackernews.full_partition_extra`
(
  `by` STRING,
  score INT64,
  time INT64,
  timestamp TIMESTAMP,
  title STRING,
  type STRING,
  url STRING,
  text STRING,
  parent INT64,
  deleted BOOL,
  dead BOOL,
  descendants INT64,
  id INT64,
  ranking INT64,
  month DATE,
  tags ARRAY<STRING>,
  level INT64,
  post_id INT64
)
PARTITION BY month
CLUSTER BY type, score
OPTIONS(
  description="CREATE OR REPLACE TABLE `fh-bigquery.hackernews.full_partition_extra` \nPARTITION BY month\nCLUSTER BY type, score\nAS\n\nSELECT * EXCEPT(parent_info), parent_info.*\nFROM (\n  SELECT *\n  , DATE(TIMESTAMP_TRUNC(timestamp, MONTH)) month\n  , IF((\n    parent IN (\n      SELECT id\n      FROM `bigquery-public-data.hacker_news.full`  \n      WHERE parent IS null\n    )), STRUCT(0 AS level, parent AS post_id), null) parent_info\n  , ARRAY((SELECT \"\" LIMIT 0)) tags \n  FROM `bigquery-public-data.hacker_news.full` \n)"
);

INSERT INTO `fh-bigquery.hackernews.full_partition_extra` (by, score, time, timestamp, title, type, url, text, parent, deleted, dead, descendants, id, ranking, month, tags, level, post_id) VALUES ('', NULL, 1360604337, '2013-02-11 17:38:57+00:00', '', 'story', '', '', NULL, True, NULL, NULL, 5202006, NULL, '2013-02-01', '[]', NULL, NULL), ('', NULL, 1360534847, '2013-02-10 22:20:47+00:00', '', 'story', '', '', NULL, True, NULL, NULL, 5198217, NULL, '2013-02-01', '[]', NULL, NULL), ('shawndumas', 28, 1360876927, '2013-02-14 21:22:07+00:00', '', 'pollopt', '', 'Indiana', NULL, NULL, NULL, NULL, 5222385, NULL, '2013-02-01', '[]', NULL, NULL), ('', NULL, 1360597559, '2013-02-11 15:45:59+00:00', '', 'story', '', '', NULL, True, NULL, NULL, 5201330, NULL, '2013-02-01', '[]', NULL, NULL), ('', NULL, 1360555375, '2013-02-11 04:02:55+00:00', '', 'story', '', '', NULL, True, NULL, NULL, 5199317, NULL, '2013-02-01', '[]', NULL, NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.the_met.images`
(
  object_id INT64,
  public_caption STRING,
  title STRING,
  original_image_url STRING,
  caption STRING,
  is_oasc BOOL,
  gcs_url STRING
);

INSERT INTO `bigquery-public-data.the_met.images` (object_id, public_caption, title, original_image_url, caption, is_oasc, gcs_url) VALUES (435868, 'Fig. 8. X-radiograph of The Met, 61.101.1', NULL, 'http://images.metmuseum.org/CRDImages/ep/original/CP x-ray.jpg', NULL, False, 'gs://gcs-public-data--met/435868/8.jpg'), (634108, 'Fig. 5. Ferdinand Hodler, sketch for "The Dream of the Shepherd," ca. 1895, carnet inv. 1958-176/10.12 (right side) © Musée d’art et d’histoire, Ville de Genève', NULL, 'http://images.metmuseum.org/CRDImages/ep/original/Hodler 1.jpg', NULL, False, 'gs://gcs-public-data--met/634108/5.jpg'), (634108, 'Fig. 2. Ferdinand Hodler, sketch for "The Dream of the Shepherd," ca. 1895, carnet inv. 1958-176/32.06 (left side) © Musée d’art et d’histoire, Ville de Genève', NULL, 'http://images.metmuseum.org/CRDImages/ep/original/Hodler 2.jpg', NULL, False, 'gs://gcs-public-data--met/634108/2.jpg'), (634108, 'Fig. 7. Ferdinand Hodler, sketch for "The Dream of the Shepherd," ca. 1895, carnet inv. 1958-176/116.07 (right side) © Musée d’art et d’histoire, Ville de Genève', NULL, 'http://images.metmuseum.org/CRDImages/ep/original/Hodler 3.jpg', NULL, False, 'gs://gcs-public-data--met/634108/7.jpg'), (634108, 'Fig. 6. Ferdinand Hodler, sketch for "The Dream of the Shepherd," ca. 1895, carnet inv. 1958-176/116.08 (left side) © Musée d’art et d’histoire, Ville de Genève', NULL, 'http://images.metmuseum.org/CRDImages/ep/original/Hodler 4.jpg', NULL, False, 'gs://gcs-public-data--met/634108/6.jpg');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_health_population.series_times`
(
  series_code STRING,
  year INT64,
  description STRING
)
OPTIONS(
  description="Series Times table"
);

INSERT INTO `bigquery-public-data.world_bank_health_population.series_times` (series_code, year, description) VALUES ('SP.UWT.TFRT', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.REG.DTHS.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SH.FPL.SATM.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.DYN.CONU.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SH.MED.CMHW.P3', 1990, 'Averages for regions/groups are based on country-level data around 1990.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_health_population.health_nutrition_population`
(
  country_name STRING OPTIONS(description=""),
  country_code STRING OPTIONS(description=""),
  indicator_name STRING OPTIONS(description=""),
  indicator_code STRING OPTIONS(description=""),
  value FLOAT64 OPTIONS(description=""),
  year INT64 OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_health_population.health_nutrition_population` (country_name, country_code, indicator_name, indicator_code, value, year) VALUES ('Canada', 'CAN', 'Domestic general government health expenditure (% of current health expenditure)', 'SH.XPD.GHED.CH.ZS', 72.9079895, 2007), ('Canada', 'CAN', 'Fertility rate, total (births per woman)', 'SP.DYN.TFRT.IN', 1.5104, 2001), ('Canada', 'CAN', 'Hospital beds (per 1,000 people)', 'SH.MED.BEDS.ZS', 6.5, 1988), ('Canada', 'CAN', 'Human capital index (HCI), male, upper bound (scale 0-1)', 'HD.HCI.OVRL.UB.MA', 0.794975936412811, 2020), ('Canada', 'CAN', 'Incidence of tuberculosis (per 100,000 people)', 'SH.TBS.INCD', 5.9, 2003);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_health_population.country_series_definitions`
(
  country_code STRING,
  series_code STRING,
  description STRING
)
OPTIONS(
  description="Country Series Definition table"
);

INSERT INTO `bigquery-public-data.world_bank_health_population.country_series_definitions` (country_code, series_code, description) VALUES ('EAS', 'SH.STA.STNT.ME.ZS', 'Aggregate data are based on UNICEF, WHO, and the World Bank harmonized JME dataset.'), ('EAS', 'SH.STA.OWGH.ME.ZS', 'Aggregate data are based on UNICEF, WHO, and the World Bank harmonized JME dataset.'), ('ECS', 'SH.STA.OWGH.ME.ZS', 'Aggregate data are based on UNICEF, WHO, and the World Bank harmonized JME dataset.'), ('ECS', 'SH.STA.STNT.ME.ZS', 'Aggregate data are based on UNICEF, WHO, and the World Bank harmonized JME dataset.'), ('LCN', 'SH.STA.OWGH.ME.ZS', 'Aggregate data are based on UNICEF, WHO, and the World Bank harmonized JME dataset.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.covid19_jhu_csse.summary`
(
  province_state STRING,
  country_region STRING,
  date DATE,
  latitude FLOAT64,
  longitude FLOAT64,
  location_geom GEOGRAPHY,
  confirmed INT64,
  deaths INT64,
  recovered STRING,
  active INT64,
  fips STRING,
  admin2 STRING,
  combined_key STRING
)
OPTIONS(
  description="Summary COVID-19 cases, aggregated by country/region and province/state. See the original source files here: https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/",
  labels=[("freebqcovid", "")]
);

INSERT INTO `bigquery-public-data.covid19_jhu_csse.summary` (province_state, country_region, date, latitude, longitude, location_geom, confirmed, deaths, recovered, active, fips, admin2, combined_key) VALUES ('South Dakota', 'US', '2020-05-15', 43.20660134, -98.58856175, 'POINT(-98.58856175 43.20660134)', 8, 0, '0', 8, '46023', 'Charles Mix', 'Charles Mix, South Dakota, US'), ('South Carolina', 'US', '2020-05-15', 32.82487866, -79.96512315, 'POINT(-79.96512315 32.82487866)', 501, 10, '0', 491, '45019', 'Charleston', 'Charleston, South Carolina, US'), ('Michigan', 'US', '2020-05-15', 45.37790017, -85.19614053, 'POINT(-85.19614053 45.37790017)', 13, 1, '0', 12, '26029', 'Charlevoix', 'Charlevoix, Michigan, US'), ('Florida', 'US', '2020-05-15', 26.90131002, -81.92949121, 'POINT(-81.92949121 26.90131002)', 367, 40, '0', 327, '12015', 'Charlotte', 'Charlotte, Florida, US'), ('Virginia', 'US', '2020-05-15', 37.01909701, -78.66314092, 'POINT(-78.66314092 37.01909701)', 11, 0, '0', 11, '51037', 'Charlotte', 'Charlotte, Virginia, US');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_education.series_summary`
(
  series_code STRING,
  topic STRING,
  indicator_name STRING,
  short_definition STRING,
  long_definition STRING,
  unit_of_measure STRING,
  periodicity STRING,
  base_period STRING,
  other_notes STRING,
  aggregation_method STRING,
  limitations_and_exceptions STRING,
  notes_from_original_source STRING,
  general_comments STRING,
  source STRING,
  statistical_concept_and_methodology STRING,
  development_relevance STRING,
  related_source_links STRING,
  other_web_links STRING,
  related_indicators STRING,
  license_type STRING
)
OPTIONS(
  description="Series Summary table"
);

INSERT INTO `bigquery-public-data.world_bank_intl_education.series_summary` (series_code, topic, indicator_name, short_definition, long_definition, unit_of_measure, periodicity, base_period, other_notes, aggregation_method, limitations_and_exceptions, notes_from_original_source, general_comments, source, statistical_concept_and_methodology, development_relevance, related_source_links, other_web_links, related_indicators, license_type) VALUES ('BAR.NOED.1519.FE.ZS', 'Attainment', 'Barro-Lee: Percentage of female population age 15-19 with no education', 'Percentage of female population age 15-19 with no education', 'Percentage of female population age 15-19 with no education', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'Robert J. Barro and Jong-Wha Lee: http://www.barrolee.com/', NULL, NULL, NULL, NULL, NULL, NULL), ('BAR.NOED.1519.ZS', 'Attainment', 'Barro-Lee: Percentage of population age 15-19 with no education', 'Percentage of population age 15-19 with no education', 'Percentage of population age 15-19 with no education', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'Robert J. Barro and Jong-Wha Lee: http://www.barrolee.com/', NULL, NULL, NULL, NULL, NULL, NULL), ('BAR.NOED.15UP.FE.ZS', 'Attainment', 'Barro-Lee: Percentage of female population age 15+ with no education', 'Percentage of female population age 15+ with no education', 'Percentage of female population age 15+ with no education', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'Robert J. Barro and Jong-Wha Lee: http://www.barrolee.com/', NULL, NULL, NULL, NULL, NULL, NULL), ('BAR.NOED.15UP.ZS', 'Attainment', 'Barro-Lee: Percentage of population age 15+ with no education', 'Percentage of population age 15+ with no education', 'Percentage of population age 15+ with no education', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'Robert J. Barro and Jong-Wha Lee: http://www.barrolee.com/', NULL, NULL, NULL, NULL, NULL, NULL), ('BAR.NOED.2024.FE.ZS', 'Attainment', 'Barro-Lee: Percentage of female population age 20-24 with no education', 'Percentage of female population age 20-24 with no education', 'Percentage of female population age 20-24 with no education', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'Robert J. Barro and Jong-Wha Lee: http://www.barrolee.com/', NULL, NULL, NULL, NULL, NULL, NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_education.international_education`
(
  country_name STRING OPTIONS(description=""),
  country_code STRING OPTIONS(description=""),
  indicator_name STRING OPTIONS(description=""),
  indicator_code STRING OPTIONS(description=""),
  value FLOAT64 OPTIONS(description=""),
  year INT64 OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_intl_education.international_education` (country_name, country_code, indicator_name, indicator_code, value, year) VALUES ('Chad', 'TCD', 'Enrolment in lower secondary education, both sexes (number)', 'UIS.E.2', 321921.0, 2012), ('Chad', 'TCD', 'Enrolment in upper secondary education, both sexes (number)', 'UIS.E.3', 68809.0, 2006), ('Chad', 'TCD', 'Enrolment in upper secondary education, both sexes (number)', 'UIS.E.3', 30551.0, 1999), ('Chad', 'TCD', 'Enrolment in upper secondary education, both sexes (number)', 'UIS.E.3', 79784.0, 2007), ('Chad', 'TCD', 'Repeaters in primary education, all grades, both sexes (number)', 'UIS.R.1', 282699.0, 2006);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_education.country_series_definitions`
(
  country_code STRING,
  series_code STRING,
  description STRING
)
OPTIONS(
  description="Country Series Definition table"
);

INSERT INTO `bigquery-public-data.world_bank_intl_education.country_series_definitions` (country_code, series_code, description) VALUES ('VEN', 'NY.GNP.PCAP.CD', 'Based on official exchange rates.'), ('TZA', 'NY.GDP.PCAP.CD', 'Covers mainland Tanzania only.'), ('TZA', 'NY.GDP.PCAP.KD', 'Covers mainland Tanzania only.'), ('TZA', 'NY.GDP.PCAP.PP.CD', 'Covers mainland Tanzania only.'), ('TZA', 'NY.GDP.PCAP.PP.KD', 'Covers mainland Tanzania only.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_debt.international_debt`
(
  country_name STRING OPTIONS(description=""),
  country_code STRING OPTIONS(description=""),
  indicator_name STRING OPTIONS(description=""),
  indicator_code STRING OPTIONS(description=""),
  value FLOAT64 OPTIONS(description=""),
  year INT64 OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_intl_debt.international_debt` (country_name, country_code, indicator_name, indicator_code, value, year) VALUES ('Afghanistan', 'AFG', 'GNI (current US$)', 'NY.GNP.MKTP.CD', nan, NULL), ('Afghanistan', 'AFG', 'GNI (current US$)', 'NY.GNP.MKTP.CD', nan, NULL), ('Afghanistan', 'AFG', 'GNI (current US$)', 'NY.GNP.MKTP.CD', nan, NULL), ('Angola', 'AGO', 'GNI (current US$)', 'NY.GNP.MKTP.CD', nan, NULL), ('Angola', 'AGO', 'GNI (current US$)', 'NY.GNP.MKTP.CD', nan, NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_debt.series_times`
(
  series_code STRING,
  year INT64,
  description STRING
)
OPTIONS(
  description="Series Times table"
);

INSERT INTO `bigquery-public-data.world_bank_intl_debt.series_times` (series_code, year, description) VALUES ('DT.DOD.PVLX.CD', 2018, 'Present value calculations for these countries are for public and publicly guaranteed debt only.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_intl_debt.country_series_definitions`
(
  country_code STRING,
  series_code STRING,
  description STRING
)
OPTIONS(
  description="Country Series Definition table"
);

INSERT INTO `bigquery-public-data.world_bank_intl_debt.country_series_definitions` (country_code, series_code, description) VALUES ('AFG', 'BX.KLT.DINV.CD.DT', 'Data on Foreign Direct Investment are based on Balance of Payments reported by the International Monetary Fund. Unless otherwise specified in the specific years.'), ('AGO', 'BX.KLT.DINV.CD.DT', 'Data on Foreign Direct Investment are based on Balance of Payments reported by the International Monetary Fund. Unless otherwise specified in the specific years.'), ('ALB', 'BX.KLT.DINV.CD.DT', 'Data on Foreign Direct Investment are based on Balance of Payments reported by the International Monetary Fund. Unless otherwise specified in the specific years.'), ('ARG', 'BX.KLT.DINV.CD.DT', 'Data on Foreign Direct Investment are based on Balance of Payments reported by the International Monetary Fund. Unless otherwise specified in the specific years.'), ('ARM', 'BX.KLT.DINV.CD.DT', 'Data on Foreign Direct Investment are based on Balance of Payments reported by the International Monetary Fund. Unless otherwise specified in the specific years.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_wdi.indicators_data`
(
  country_name STRING OPTIONS(description=""),
  country_code STRING OPTIONS(description=""),
  indicator_name STRING OPTIONS(description=""),
  indicator_code STRING OPTIONS(description=""),
  value FLOAT64 OPTIONS(description=""),
  year INT64 OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_wdi.indicators_data` (country_name, country_code, indicator_name, indicator_code, value, year) VALUES ('Mozambique', 'MOZ', 'Net official development assistance and official aid received (constant 2018 US$)', 'DT.ODA.ALLD.KD', 1501189941.40625, 1998), ('Mozambique', 'MOZ', 'Net official development assistance and official aid received (current US$)', 'DT.ODA.ALLD.CD', 1641939941.40625, 2006), ('Mozambique', 'MOZ', 'Net official development assistance received (constant 2018 US$)', 'DT.ODA.ODAT.KD', 670000.016689301, 1962), ('Mozambique', 'MOZ', 'Net official flows from UN agencies, ILO (current US$)', 'DT.NFL.ILOG.CD', 373041.689395905, 2012), ('Mozambique', 'MOZ', 'Net official flows from UN agencies, UNICEF (current US$)', 'DT.NFL.UNCF.CD', 8420000.07629395, 2001);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_wdi.series_time`
(
  series_code STRING OPTIONS(description=""),
  year INT64 OPTIONS(description=""),
  description STRING OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_wdi.series_time` (series_code, year, description) VALUES ('SP.DYN.CONM.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.UWT.TFRT', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.DYN.CONU.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.REG.DTHS.ZS', 1990, 'Averages for regions/groups are based on country-level data around 1990.'), ('SP.DYN.WFRT', 1990, 'Averages for regions/groups are based on country-level data around 1990.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_wdi.footnotes`
(
  country_code STRING OPTIONS(description=""),
  series_code STRING OPTIONS(description=""),
  year STRING OPTIONS(description=""),
  description STRING OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_wdi.footnotes` (country_code, series_code, year, description) VALUES ('ABW', 'AG.LND.FRST.K2', '    ', 'Not specified'), ('ABW', 'AG.LND.FRST.K2', '    ', 'Not specified'), ('ABW', 'AG.LND.FRST.K2', '    ', 'Not specified'), ('ABW', 'BM.KLT.DINV.CD.WD', '1995', 'Source: United Nations Conference on Trade and Development,  Foreign Direct Investment Online database.'), ('ABW', 'BM.KLT.DINV.CD.WD', '1994', 'Source: United Nations Conference on Trade and Development,  Foreign Direct Investment Online database.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.world_bank_wdi.country_series_definitions`
(
  country_code STRING OPTIONS(description=""),
  series_code STRING OPTIONS(description=""),
  description STRING OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.world_bank_wdi.country_series_definitions` (country_code, series_code, description) VALUES ('AUS', 'MS.MIL.XPND.CN', '1950-1999 SIPRI estimates.'), ('AUT', 'MS.MIL.XPND.CN', '1957-2001 SIPRI estimates.'), ('JPN', 'MS.MIL.XPND.CN', '1960-1964 SIPRI estimates.'), ('JPN', 'MS.MIL.XPND.CD', '1960-1964 SIPRI estimates.'), ('TUN', 'MS.MIL.XPND.CD', '1960-1964 SIPRI estimates.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.usfs_fia.population_evaluation_type`
(
  evaluation_type_sequence_number INT64 OPTIONS(description="A unique sequence number used to identify a population evaluation type record."),
  evaluation_group_sequence_number INT64 OPTIONS(description="Foreign key linking the population evaluation record to the population evaluation group record."),
  evaluation_sequence_number INT64 OPTIONS(description="Foreign key linking the estimation unit record to the evaluation record."),
  evaluation_type STRING OPTIONS(description="Describes the type of evaluation. Evaluation type is needed to generate summary reports for an inventory. For example, a specific evaluation is associated with the evaluation for tree volume (EXPVOL). At the present time, nine types of evaluations can be produced. See also the REF_POP_EVAL_TYP_DESCR table."),
  eval_type_created_by STRING OPTIONS(description="See SURVEY.CREATED_BY description for definition."),
  eval_type_created_date DATE OPTIONS(description="See SURVEY.CREATED_DATE description for definition"),
  eval_type_created_in_instance INT64 OPTIONS(description="See SURVEY.CREATED_IN_INSTANCE description for definition."),
  eval_type_modified_by STRING OPTIONS(description="See SURVEY.MODIFIED_BY description for definition."),
  eval_type_modified_date DATE OPTIONS(description="See SURVEY.MODIFIED_DATE description for definition."),
  eval_type_modified_in_instance INT64 OPTIONS(description="See SURVEY.MODIFIED_IN_INSTANCE description for definition.")
)
OPTIONS(
  description="Describes the type of evaluation. Evaluation type is needed to generate summary reports for an inventory.\t\n\nPages in FIA Documentation: 7-15"
);

INSERT INTO `bigquery-public-data.usfs_fia.population_evaluation_type` (evaluation_type_sequence_number, evaluation_group_sequence_number, evaluation_sequence_number, evaluation_type, eval_type_created_by, eval_type_created_date, eval_type_created_in_instance, eval_type_modified_by, eval_type_modified_date, eval_type_modified_in_instance) VALUES (247340670010854, 246589849010854, 247334062010854, 'EXPGROW', NULL, '2010-08-27', 10854, NULL, 'NaT', NULL), (247340671010854, 246589849010854, 247334062010854, 'EXPREMV', NULL, '2010-08-27', 10854, NULL, 'NaT', NULL), (247340672010854, 246589849010854, 247334062010854, 'EXPMORT', NULL, '2010-08-27', 10854, NULL, 'NaT', NULL), (215078424010854, 209643348010854, 209643345010854, 'EXPCURR', NULL, '2009-12-15', 10854, NULL, 'NaT', NULL), (215078427010854, 209643348010854, 209643346010854, 'EXPVOL', NULL, '2009-12-15', 10854, NULL, 'NaT', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_passive_bioacoustic.ncei_sanctsound_pad_metadata`
(
  file_name STRING OPTIONS(description=""),
  data_collection_name STRING OPTIONS(description=""),
  start_date STRING OPTIONS(description=""),
  start_time STRING OPTIONS(description=""),
  source_organization STRING OPTIONS(description=""),
  funding_organization STRING OPTIONS(description=""),
  project_name STRING OPTIONS(description=""),
  sensor_depth STRING OPTIONS(description=""),
  sample_rate_hz STRING OPTIONS(description=""),
  recording STRING OPTIONS(description=""),
  platform_name STRING OPTIONS(description=""),
  lon STRING OPTIONS(description=""),
  lat STRING OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.noaa_passive_bioacoustic.ncei_sanctsound_pad_metadata` (file_name, data_collection_name, start_date, start_time, source_organization, funding_organization, project_name, sensor_depth, sample_rate_hz, recording, platform_name, lon, lat) VALUES ('SanctSound_CI01_01_671379494_CalibrationInfo.pdf', 'SanctSound_CI01_01', '31-Oct-18', '22:00:00', 'NOAA ONMS,Naval Postgraduate School,US Navy LMR', 'NOAA ONMS,US Navy LMR', 'SanctSound', '17.5', '96000', '100', 'Mooring', '-120.0811', '34.0438'), ('CI01_01_RBRsT_101567.mat', 'SanctSound_CI01_01', '31-Oct-18', '22:00:00', 'NOAA ONMS,Naval Postgraduate School,US Navy LMR', 'NOAA ONMS,US Navy LMR', 'SanctSound', '17.5', '96000', '100', 'Mooring', '-120.0811', '34.0438'), ('CI01_01_RBRsT_101567.png', 'SanctSound_CI01_01', '31-Oct-18', '22:00:00', 'NOAA ONMS,Naval Postgraduate School,US Navy LMR', 'NOAA ONMS,US Navy LMR', 'SanctSound', '17.5', '96000', '100', 'Mooring', '-120.0811', '34.0438'), ('CI01_01_RBRsT_101567.rsk', 'SanctSound_CI01_01', '31-Oct-18', '22:00:00', 'NOAA ONMS,Naval Postgraduate School,US Navy LMR', 'NOAA ONMS,US Navy LMR', 'SanctSound', '17.5', '96000', '100', 'Mooring', '-120.0811', '34.0438'), ('Thumbs.db', 'SanctSound_CI01_01', '31-Oct-18', '22:00:00', 'NOAA ONMS,Naval Postgraduate School,US Navy LMR', 'NOAA ONMS,US Navy LMR', 'SanctSound', '17.5', '96000', '100', 'Mooring', '-120.0811', '34.0438');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_passive_bioacoustic.ncei_nrs_pad_metadata`
(
  file_name STRING OPTIONS(description=""),
  deployment_name STRING OPTIONS(description=""),
  start_date STRING OPTIONS(description=""),
  start_time STRING OPTIONS(description=""),
  source_organization STRING OPTIONS(description=""),
  funding_organization STRING OPTIONS(description=""),
  project_name STRING OPTIONS(description=""),
  sensor_depth STRING OPTIONS(description=""),
  sample_rate_hz STRING OPTIONS(description=""),
  recording STRING OPTIONS(description=""),
  platform_name STRING OPTIONS(description=""),
  lon STRING OPTIONS(description=""),
  lat STRING OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.noaa_passive_bioacoustic.ncei_nrs_pad_metadata` (file_name, deployment_name, start_date, start_time, source_organization, funding_organization, project_name, sensor_depth, sample_rate_hz, recording, platform_name, lon, lat) VALUES ('NRS01_20141014_234015.flac', 'NRS_01_2014-2015', '2014-10-14', '23:40:15', 'AFSC,PMEL', 'NOAA/NMFS/Ocean Acoustics Program', 'NRS', '500', '5000', '100', 'Mooring', '-156.6018', '72.49'), ('NRS01_20141015_034021.flac', 'NRS_01_2014-2015', '2014-10-15', '03:40:21', 'AFSC,PMEL', 'NOAA/NMFS/Ocean Acoustics Program', 'NRS', '500', '5000', '100', 'Mooring', '-156.6018', '72.49'), ('NRS01_20141015_074026.flac', 'NRS_01_2014-2015', '2014-10-15', '07:40:26', 'AFSC,PMEL', 'NOAA/NMFS/Ocean Acoustics Program', 'NRS', '500', '5000', '100', 'Mooring', '-156.6018', '72.49'), ('NRS01_20141015_114032.flac', 'NRS_01_2014-2015', '2014-10-15', '11:40:32', 'AFSC,PMEL', 'NOAA/NMFS/Ocean Acoustics Program', 'NRS', '500', '5000', '100', 'Mooring', '-156.6018', '72.49'), ('NRS01_20141015_154038.flac', 'NRS_01_2014-2015', '2014-10-15', '15:40:38', 'AFSC,PMEL', 'NOAA/NMFS/Ocean Acoustics Program', 'NRS', '500', '5000', '100', 'Mooring', '-156.6018', '72.49');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_odontocete_detections`
(
  detection_time_start_local DATETIME,
  detection_time_start_utc TIMESTAMP,
  detection_time_end_utc TIMESTAMP,
  acoustic_detection_number STRING,
  sighting_number INT64,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY,
  first_angle INT64,
  first_distance INT64,
  beam_distance INT64,
  beam_time_utc TIMESTAMP,
  detection_distance INT64,
  species1_id STRING,
  species2_id STRING,
  species3_id STRING
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_odontocete_detections` (detection_time_start_local, detection_time_start_utc, detection_time_end_utc, acoustic_detection_number, sighting_number, latitude, longitude, point, first_angle, first_distance, beam_distance, beam_time_utc, detection_distance, species1_id, species2_id, species3_id) VALUES ('2017-07-11 15:06:04', '2017-07-12 01:06:04+00:00', '2017-07-12 01:23:26+00:00', '18', 9, 19.39908167, -156.137585, 'POINT(-156.137585 19.39908167)', 44, NULL, NULL, 'NaT', NULL, '2', NULL, NULL), ('2017-09-04 09:01:39', '2017-09-04 19:01:39+00:00', '2017-09-04 19:33:22+00:00', '254', 114, 20.73640167, -158.0884733, 'POINT(-158.0884733 20.73640167)', 30, NULL, NULL, 'NaT', NULL, '2', '13', NULL), ('2017-07-22 19:18:32', '2017-07-23 05:18:32+00:00', '2017-07-23 06:05:44+00:00', '80', 32, 24.83563167, -171.80022, 'POINT(-171.80022 24.83563167)', 121, NULL, NULL, 'NaT', NULL, '2', NULL, NULL), ('2017-09-04 06:26:44', '2017-09-04 16:26:44+00:00', '2017-09-04 17:24:50+00:00', '253', 113, 20.66195, -157.8127417, 'POINT(-157.8127417 20.66195)', 42, 3460, 250, '2017-09-04 16:46:22+00:00', 3798, '2', NULL, NULL), ('2017-07-12 17:26:30', '2017-07-13 03:26:30+00:00', '2017-07-13 03:55:36+00:00', '25', 13, 19.23603833, -156.13116, 'POINT(-156.13116 19.23603833)', 25, 1450, 215, '2017-07-13 03:31:50+00:00', 2200, '2', NULL, NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_minke_detections`
(
  detection_time_start_local DATETIME,
  detection_time_start_utc TIMESTAMP,
  detection_time_end_utc TIMESTAMP,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_minke_detections` (detection_time_start_local, detection_time_start_utc, detection_time_end_utc, latitude, longitude, point) VALUES ('2017-11-07 14:15:08', '2017-11-08 00:15:08+00:00', '2017-11-08 00:15:24+00:00', 21.79686167, -161.2750067, 'POINT(-161.2750067 21.79686167)'), ('2017-11-07 14:15:13', '2017-11-08 00:15:13+00:00', '2017-11-08 00:15:33+00:00', 21.79686167, -161.2750067, 'POINT(-161.2750067 21.79686167)'), ('2017-11-23 11:36:53', '2017-11-23 21:36:53+00:00', '2017-11-23 21:37:04+00:00', 21.04848167, -152.62861, 'POINT(-152.62861 21.04848167)'), ('2017-11-02 17:17:19', '2017-11-03 03:17:19+00:00', '2017-11-03 03:17:39+00:00', 23.78285667, -173.6463833, 'POINT(-173.6463833 23.78285667)'), ('2017-11-21 14:17:57', '2017-11-22 00:17:57+00:00', '2017-11-22 00:18:20+00:00', 22.21893, -157.5590433, 'POINT(-157.5590433 22.21893)');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_detection_readme`
(
  table STRING,
  field STRING,
  description STRING
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_detection_readme` (table, field, description) VALUES ('x_Array', 'Array2', 'Name of array attached directly to the separator.'), ('x_Array', 'Array1', 'Name of array attached directly to the tow cable.'), ('x_Array', 'ArrayEnd_UTC', 'End time for the provided array parameters in UTC time. '), ('x_Array', 'ArrayStart_UTC', 'Start time for the provided array parameters in UTC time. '), ('x_Array', 'ArrayStart_ShipLocal', 'Start time for provided array parameters in "ship local" time.');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_sette_array_depth`
(
  utc_time TIMESTAMP,
  local_time DATETIME,
  inline_depth FLOAT64,
  end_depth FLOAT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_sette_array_depth` (utc_time, local_time, inline_depth, end_depth) VALUES ('2017-09-17 03:34:35+00:00', '2017-09-16 17:34:35', 6.0, 6.76), ('2017-07-16 01:20:19+00:00', '2017-07-15 15:20:19', 6.0, 7.51), ('2017-07-15 16:15:01+00:00', '2017-07-15 06:15:00', 6.0, 7.76), ('2017-07-15 17:54:52+00:00', '2017-07-15 07:54:51', 6.0, 7.76), ('2017-07-15 17:56:06+00:00', '2017-07-15 07:56:05', 6.0, 8.52);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_visual_sightings`
(
  local_ship_date DATE,
  sighting_local_time TIME,
  sighting_number STRING,
  species_id STRING,
  effort STRING,
  effort_type STRING,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY,
  bearing INT64,
  distance FLOAT64,
  total_best FLOAT64,
  total_high INT64,
  total_low INT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_visual_sightings` (local_ship_date, sighting_local_time, sighting_number, species_id, effort, effort_type, latitude, longitude, point, bearing, distance, total_best, total_high, total_low) VALUES ('2017-07-15', '15:16:00', '22', '15', 'ON', 'F', 21.36166, -156.449, 'POINT(-156.449 21.36166)', 46, 3592.9, 4.5, 6, 4), ('2017-07-31', '14:11:00', '43', '32', 'ON', 'F', 20.46, -155.772, 'POINT(-155.772 20.46)', 337, 814.9, 7.8, 15, 5), ('2017-07-31', '06:18:00', '42', '36', 'ON', 'F', 19.976, -156.942, 'POINT(-156.942 19.976)', 82, 1481.6, 18.9, 29, 15), ('2017-07-15', '17:45:00', '23', '46', 'ON', 'F', 21.6435, -156.7295, 'POINT(-156.7295 21.6435)', 309, 5315.2, 32.3, 45, 28), ('2017-07-31', '16:28:00', '45', '46', 'ON', 'F', 20.531, -155.552, 'POINT(-155.552 20.531)', 280, 4555.9, 1.0, 2, 1);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_lasker_array_depth`
(
  utc_time TIMESTAMP,
  local_time DATETIME,
  inline_depth FLOAT64,
  end_depth FLOAT64
)
PARTITION BY DATE(_PARTITIONTIME);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_lasker_array_depth` (utc_time, local_time, inline_depth, end_depth, _PARTITIONTIME) VALUES ('2017-11-22 02:53:30+00:00', '2017-11-21 16:53:29', 3.25, 6.07, NULL), ('2017-11-26 20:43:32+00:00', '2017-11-26 10:43:31', 3.5, 4.9, NULL), ('2017-11-26 20:43:31+00:00', '2017-11-26 10:43:30', 3.5, 4.9, NULL), ('2017-10-10 01:12:45+00:00', '2017-10-09 15:12:44', 4.0, 7.84, NULL), ('2017-10-10 01:12:42+00:00', '2017-10-09 15:12:41', 4.0, 8.74, NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_array`
(
  array_start_local DATETIME,
  array_end_local DATETIME,
  array_start_utc TIMESTAMP,
  array_end_utc TIMESTAMP,
  array1 STRING,
  array2 STRING,
  hp1_dist FLOAT64,
  hp1_ad INT64,
  hp2_dist FLOAT64,
  hp2_ad INT64,
  hp3_dist FLOAT64,
  hp3_ad INT64,
  hp4_dist STRING,
  hp4_ad STRING,
  hp5_dist STRING,
  hp5_ad STRING,
  hp6_dist STRING,
  hp6_ad STRING
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1706_array` (array_start_local, array_end_local, array_start_utc, array_end_utc, array1, array2, hp1_dist, hp1_ad, hp2_dist, hp2_ad, hp3_dist, hp3_ad, hp4_dist, hp4_ad, hp5_dist, hp5_ad, hp6_dist, hp6_ad) VALUES ('2017-07-11 08:18:03', '2017-07-15 19:26:21', '2017-07-11 18:18:03+00:00', '2017-07-16 05:26:21+00:00', 'Iiwi      ', 'Pueo      ', -348.07, 6, -349.05, 6, -350.05, 6, '-386.37', '6', '-387.33', '6', '-388.33', '6'), ('2017-08-27 09:00:17', '2017-08-27 18:10:59', '2017-08-27 19:00:17+00:00', '2017-08-28 04:10:59+00:00', 'Iiwi      ', 'Pueo      ', -348.07, 6, -349.05, 6, -350.05, 6, '-386.37', '12', '-387.33', '12', '-388.33', '12'), ('2017-08-11 10:06:02', '2017-08-23 17:30:13', '2017-08-11 20:06:02+00:00', '2017-08-24 03:30:13+00:00', 'Kolea     ', 'Pueo      ', -348.33, 6, -349.31, 6, -350.31, 6, '-386.87', '12', '-387.83', '12', '-388.83', '12'), ('2017-07-18 12:05:46', '2017-07-31 18:01:10', '2017-07-18 22:05:46+00:00', '2017-08-01 04:01:10+00:00', 'Kolea     ', 'Pueo      ', -348.33, 0, -349.31, 0, -350.31, 0, '-386.87', '12', '-387.83', '12', '-388.83', '12'), ('2017-09-13 07:44:35', '2017-09-18 16:10:20', '2017-09-13 17:44:35+00:00', '2017-09-19 02:10:20+00:00', 'Kolea     ', 'Moli      ', -348.33, 6, -349.31, 6, -350.31, 6, '-391.19', '12', '-392.15', '12', '-393.15', '12');
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_species_lookup`
(
  code STRING,
  common_name STRING,
  species_name STRING
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_species_lookup` (code, common_name, species_name) VALUES ('98', 'Unidentified whale', NULL), ('96', 'Unidentified cetacean', NULL), ('79', 'Unidentified large whale', NULL), ('78', 'Unidentified small whale', NULL), ('77', 'Unidentified dolphin', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_array`
(
  array_start_local DATETIME,
  array_end_local DATETIME,
  array_start_utc TIMESTAMP,
  array_end_utc TIMESTAMP,
  array1 STRING,
  array2 STRING,
  hp1_dist FLOAT64,
  hp1_ad INT64,
  hp2_dist FLOAT64,
  hp2_ad INT64,
  hp3_dist FLOAT64,
  hp3_ad INT64,
  hp4_dist FLOAT64,
  hp4_ad INT64,
  hp5_dist FLOAT64,
  hp5_ad INT64,
  hp6_dist FLOAT64,
  hp6_ad INT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_array` (array_start_local, array_end_local, array_start_utc, array_end_utc, array1, array2, hp1_dist, hp1_ad, hp2_dist, hp2_ad, hp3_dist, hp3_ad, hp4_dist, hp4_ad, hp5_dist, hp5_ad, hp6_dist, hp6_ad) VALUES ('2017-10-09 07:56:28', '2017-11-02 18:37:35', '2017-10-09 17:56:28+00:00', '2017-11-03 04:37:35+00:00', 'Numbat    ', 'Goanna    ', -335.82, 6, -336.8, 6, -337.8, 6, -364.97, 12, -365.93, 12, -366.92, 12), ('2017-11-06 08:19:09', '2017-11-30 17:21:45', '2017-11-06 18:19:09+00:00', '2017-12-01 03:21:45+00:00', 'Numbat    ', 'Goanna    ', -335.82, 6, -336.8, 6, -337.8, 6, -364.97, 12, -365.93, 12, -366.92, 12), ('2017-09-26 08:12:14', '2017-10-01 17:53:35', '2017-09-26 18:12:14+00:00', '2017-10-02 03:53:35+00:00', 'Numbat    ', 'Goanna    ', -335.82, 6, -336.8, 6, -337.8, 6, -364.97, 12, -365.93, 12, -366.92, 12), ('2017-08-27 07:46:22', '2017-09-04 16:19:55', '2017-08-27 17:46:22+00:00', '2017-09-05 02:19:55+00:00', 'Sugar Glider ', 'Echidna   ', -335.42, 6, -336.4, 6, -337.4, 6, -358.99, 12, -360.01, 12, -361.01, 12);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_odontocete_detections`
(
  detection_time_start_local DATETIME,
  detection_time_start_utc TIMESTAMP,
  detection_time_end_utc TIMESTAMP,
  acoustic_detection_number STRING,
  sighting_number STRING,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY,
  first_angle INT64,
  first_distance INT64,
  beam_distance INT64,
  beam_time_utc TIMESTAMP,
  detection_distance INT64,
  species1_id STRING,
  species2_id STRING,
  species3_id STRING
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_odontocete_detections` (detection_time_start_local, detection_time_start_utc, detection_time_end_utc, acoustic_detection_number, sighting_number, latitude, longitude, point, first_angle, first_distance, beam_distance, beam_time_utc, detection_distance, species1_id, species2_id, species3_id) VALUES ('2017-10-09 12:35:30', '2017-10-09 22:35:30+00:00', '2017-10-09 23:13:22+00:00', '213', '84', 21.03715833, -157.1694017, 'POINT(-157.1694017 21.03715833)', 18, NULL, NULL, 'NaT', NULL, '2', NULL, NULL), ('2017-10-09 15:23:12', '2017-10-10 01:23:12+00:00', '2017-10-10 02:39:43+00:00', '215', '84/85', 21.02911, -157.1914867, 'POINT(-157.1914867 21.02911)', 80, NULL, NULL, 'NaT', NULL, '2', '18', '15'), ('2017-11-07 17:31:25', '2017-11-08 03:31:25+00:00', '2017-11-08 03:52:42+00:00', '317', '129', 21.71451833, -160.7990033, 'POINT(-160.7990033 21.71451833)', 14, NULL, NULL, 'NaT', NULL, '2', NULL, NULL), ('2017-09-04 11:03:07', '2017-09-04 21:03:07+00:00', '2017-09-04 21:40:29+00:00', '100', '47', 19.86543667, -158.0404417, 'POINT(-158.0404417 19.86543667)', 71, NULL, NULL, 'NaT', NULL, '2', NULL, NULL), ('2017-11-21 16:27:12', '2017-11-22 02:27:12+00:00', '2017-11-22 03:09:38+00:00', '361', '143', 22.14156833, -157.2844033, 'POINT(-157.2844033 22.14156833)', 32, NULL, NULL, '2017-11-22 02:50:20+00:00', NULL, '2', '177', NULL);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_visual_sightings`
(
  local_ship_date DATE,
  sighting_local_time TIME,
  sighting_number STRING,
  species_id STRING,
  effort STRING,
  effort_type STRING,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY,
  bearing INT64,
  distance FLOAT64,
  total_best FLOAT64,
  total_high INT64,
  total_low INT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_2020_1705_visual_sightings` (local_ship_date, sighting_local_time, sighting_number, species_id, effort, effort_type, latitude, longitude, point, bearing, distance, total_best, total_high, total_low) VALUES ('2017-08-27', '09:53:00', '21', '49', 'ON', 'F', 19.646, -154.756, 'POINT(-154.756 19.646)', 0, 1314.9, 2.0, 3, 2), ('2017-08-31', '15:52:00', '33', '177', 'ON', 'N', 19.168, -156.258, 'POINT(-156.258 19.168)', 50, 4018.8, 13.4, 19, 10), ('2017-08-31', '17:53:00', '34', '2', 'ON', 'N', 19.494, -156.078, 'POINT(-156.078 19.494)', 34, 3722.5, 45.8, 70, 35), ('2017-10-09', '08:13:00', '80', '177', 'ON', 'N', 20.677, -156.752, 'POINT(-156.752 20.677)', 10, 4778.2, 2.4, 4, 1), ('2017-10-09', '09:03:00', '81', '2', 'ON', 'N', 20.802, -156.712, 'POINT(-156.712 20.802)', 29, 1592.7, 4.0, 6, 3);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_lasker_gps`
(
  utc_time TIMESTAMP,
  local_time DATETIME,
  latitude FLOAT64,
  longitude FLOAT64,
  speed FLOAT64,
  effort INT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_lasker_gps` (utc_time, local_time, latitude, longitude, speed, effort) VALUES ('0017-09-05 00:09:00+00:00', '0017-09-04 14:09:00', 20.0, -158.39, 7.04, 0), ('0017-09-05 00:57:00+00:00', '0017-09-04 14:57:00', 20.0, -158.46, 10.28, 0), ('0017-09-05 00:57:00+00:00', '0017-09-04 14:57:00', 20.0, -158.46, 10.2, 0), ('0017-09-05 00:57:00+00:00', '0017-09-04 14:57:00', 20.0, -158.46, 11.06, 0), ('0017-09-05 00:57:00+00:00', '0017-09-04 14:57:00', 20.0, -158.46, 10.2, 0);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_pifsc_metadata.dclde_sette_gps`
(
  utc_time TIMESTAMP,
  local_time DATETIME,
  latitude FLOAT64,
  longitude FLOAT64,
  point GEOGRAPHY,
  speed FLOAT64,
  effort INT64
);

INSERT INTO `bigquery-public-data.noaa_pifsc_metadata.dclde_sette_gps` (utc_time, local_time, latitude, longitude, point, speed, effort) VALUES ('2017-08-11 20:19:19+00:00', '2017-08-11 10:19:19', 24.0, -158.72, 'POINT(-158.72 24)', 10.26, 0), ('2017-08-11 20:18:05+00:00', '2017-08-11 10:18:05', 24.0, -158.72, 'POINT(-158.72 24)', 10.37, 0), ('2017-08-11 20:19:59+00:00', '2017-08-11 10:19:59', 24.0, -158.72, 'POINT(-158.72 24)', 10.26, 0), ('2017-08-11 20:19:39+00:00', '2017-08-11 10:19:39', 24.0, -158.72, 'POINT(-158.72 24)', 10.6, 0), ('2017-08-11 20:19:08+00:00', '2017-08-11 10:19:08', 24.0, -158.72, 'POINT(-158.72 24)', 10.49, 0);
-- DBMS: bigquery
CREATE TABLE `bigquery-public-data.noaa_preliminary_severe_storms.hail_reports`
(
  timestamp TIMESTAMP OPTIONS(description="Timestamp in UTC"),
  time STRING OPTIONS(description="Hour in UTC"),
  size INT64 OPTIONS(description="Size in 1/100 of an Inch (175 = 1.75\")"),
  location STRING OPTIONS(description="Location of report"),
  county STRING OPTIONS(description=""),
  state STRING OPTIONS(description=""),
  latitude FLOAT64 OPTIONS(description="Latitude to two decimal places"),
  longitude FLOAT64 OPTIONS(description="Longitude to two decimal places"),
  comments STRING OPTIONS(description=""),
  report_point GEOGRAPHY OPTIONS(description="")
);

INSERT INTO `bigquery-public-data.noaa_preliminary_severe_storms.hail_reports` (timestamp, time, size, location, county, state, latitude, longitude, comments, report_point) VALUES ('2021-05-26 23:28:00+00:00', '2328', 200, '10 WEST HEMINGFORD', 'BOX BUTTE', 'N', 4.23, -10.32, 'PHOTO ON SOCIAL MEDIA READING 2.14 INCHES FOR DIAMETER. (CYS', 'POINT(-10.32 4.23)'), ('2021-04-24 21:22:00+00:00', '2122', 125, '1 SSW EW SHELL FISHERIE', 'LEE', 'AL', 32.67, -85.51, 'VIA SOCIAL MEDIA. (BMX)', 'POINT(-85.51 32.67)'), ('2021-12-30 20:05:00+00:00', '2005', 100, '1 W LOACHAPOKA', 'LEE', 'AL', 32.6, -85.61, 'QUARTER SIZE HAIL IN LOACHAPOKA. (BMX)', 'POINT(-85.61 32.6)'), ('2021-12-30 20:28:00+00:00', '2028', 150, 'BEAUREGARD', 'LEE', 'AL', 32.54, -85.37, 'SILVER DOLLAR SIZE HAIL IN BEAUREGARD. (BMX)', 'POINT(-85.37 32.54)'), ('2021-12-30 20:47:00+00:00', '2047', 175, 'SMITHS STATION', 'LEE', 'AL', 32.54, -85.09, 'GOLF BALL SIZE HAIL IN SMITHS STATION. (BMX)', 'POINT(-85.09 32.54)');