| packages |
[{'id': '5b6db46a-4203-41ba-8c69-36b8653f5241', 'name': 'mundo-kaggle-olimpiadas', 'title': 'Dados históricos das Olimpíadas', 'type': 'dataset', 'notes': 'A base oferece a série histórica de dados dos atletas presentes em Jogos Olímpicos desde 1896. Mais informações podem ser acessadas em https://www.kaggle.com/heesoo37/olympic-history-data-a-thorough-analysis.', 'author': 'Randi H. Griffin', 'author_email': 'rgriff23@gmail.com', 'maintainer': '', 'maintainer_email': '', 'state': 'active', 'license_id': '', 'url': None, 'version': '', 'metadata_created': '2021-09-12T23:18:03.325181', 'metadata_modified': '2022-12-30T09:56:12.979217', 'creator_user_id': '1baab216-315d-41af-8d31-0ef728ef2f9a', 'private': False, 'license_title': '', 'num_resources': 3, 'resources': [{'id': '2c922099-0bc8-4cb7-a382-69de1c48855d', 'name': 'microdados', 'description': 'Microdados dos atletas e delegações presentes nas edições dos Jogos Olímpicos a partir de 1896. \n', 'position': 0, 'url': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-22T12:14:29.133436', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-23T09:58:21.401898', 'mimetype': None, 'mimetype_inner': None, 'package_id': '5b6db46a-4203-41ba-8c69-36b8653f5241', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'bdm_table', 'dataset_id': 'mundo_kaggle_olimpiadas', 'table_id': 'microdados', 'spatial_coverage': ['world'], 'temporal_coverage': ['1896', '1900', '1904(2)1908', '1912', '1920', '1924', '1928', '1932', '1936', '1948', '1952', '1956', '1960', '1964', '1968', '1972', '1976', '1980', '1984', '1988', '1992(2)2016'], 'update_frequency': 'four_years', 'observation_level': [{'entity': 'year', 'columns': ['ano']}, {'columns': ['edicao']}, {'columns': ['id_atleta']}, {'columns': ['evento']}], 'last_updated': {'metadata': None, 'data': None, 'release': None}, 'version': '1.0', 'published_by': {'name': 'Lucas Nascimento Moreira', 'email': 'lucas.nasc.m@gmail.com', 'github_user': '', 'ckan_user': '', 'website': None}, 'data_cleaned_by': {'name': 'Lucas Nascimento Moreira', 'email': 'lucas.nasc.m@gmail.com', 'github_user': '', 'ckan_user': '', 'website': ''}, 'data_cleaning_description': 'Download da base e padronização seguindo diretrizes da BD+; Junção da base de paises em relação às delegações na base original; Ordenação do dataframe; Exclusão de observações duplicadas;', 'data_cleaning_code_url': 'https://github.com/basedosdados/mais/tree/master/bases/mundo_kaggle_olimpiadas/code', 'partner_organization': {'name': '', 'organization_id': ''}, 'raw_files_url': None, 'auxiliary_files_url': '', 'architecture_url': None, 'source_bucket_name': 'basedosdados', 'project_id_prod': 'basedosdados', 'project_id_staging': 'basedosdados-staging', 'partitions': [], 'uncompressed_file_size': None, 'compressed_file_size': None, 'columns': [{'name': 'ano', 'bigquery_type': 'int64', 'description': 'Ano', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'edicao', 'bigquery_type': 'string', 'description': 'Edição dos Jogos Olimpícos', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'cidade_sede', 'bigquery_type': 'string', 'description': 'Cidade Sede', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'pais', 'bigquery_type': 'string', 'description': 'Nome do país', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'delegacao', 'bigquery_type': 'string', 'description': 'Sigla do Comitê Olimpíco Nacional', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'equipe', 'bigquery_type': 'string', 'description': 'Nome da equipe', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'id_atleta', 'bigquery_type': 'string', 'description': 'Identificação do atleta', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'nome_atleta', 'bigquery_type': 'string', 'description': 'Nome do(a) Atleta', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'sexo', 'bigquery_type': 'string', 'description': 'Sexo', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'idade', 'bigquery_type': 'int64', 'description': 'Idade', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'altura', 'bigquery_type': 'int64', 'description': 'Altura (cm)', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'peso', 'bigquery_type': 'int64', 'description': 'Peso (kg)', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'esporte', 'bigquery_type': 'string', 'description': 'Esporte', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'evento', 'bigquery_type': 'string', 'description': 'Modalidade da prova', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'medalha', 'bigquery_type': 'string', 'description': 'Premiação', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}], 'title': 'Microdados', 'number_rows': 269718}, {'id': 'c5d4b660-c54a-4e61-8cd2-da0dc7c7e0d1', 'name': 'Dados', 'description': '', 'position': 1, 'url': 'https://www.kaggle.com/heesoo37/olympic-history-data-a-thorough-analysis.', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-22T12:15:45.578583', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:01:43.737616', 'mimetype': None, 'mimetype_inner': None, 'package_id': '5b6db46a-4203-41ba-8c69-36b8653f5241', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_api': 'no', 'availability': 'online', 'spatial_coverage': None, 'temporal_coverage': [], 'observation_level': []}, {'id': '970421d0-1224-4ab9-b813-2f57576f8f83', 'name': 'Visualizações', 'description': None, 'position': 2, 'url': 'https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results/download', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-08-16T23:39:51.228055', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:01:45.339812', 'mimetype': None, 'mimetype_inner': None, 'package_id': '5b6db46a-4203-41ba-8c69-36b8653f5241', 'size': None, 'state': 'active', 'url_type': None, 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'2020-06-25T03:15:57.332926', 'is_organization': False, 'approval_status': 'approved', 'state': 'active', 'capacity': 'public', 'display_name': 'História', 'image_display_url': 'https://basedosdados.org/uploads/group/2020-06-25-031557.126389Colosseum-Rome.jpg'}], 'owner_org': '3ededde6-bec5-4673-9595-14514adc5d18', 'organization': {'id': '3ededde6-bec5-4673-9595-14514adc5d18', 'name': 'mundo-kaggle', 'title': 'Kaggle', 'type': 'organization', 'description': 'www.kaggle.com', 'image_url': '2021-07-22-121024.559702Kagglelogo.png', 'created': '2021-07-22T12:10:24.572154', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'num_tags': 7, 'tags': [{'id': '44c61ccf-2d1c-47c9-ba3d-4a3d7426ca72', 'name': 'atleta', 'vocabulary_id': None, 'state': 'active', 'display_name': 'atleta'}, {'id': 'fab2131c-be74-4d28-a06f-b5461a0976a5', 'name': 'atletismo', 'vocabulary_id': None, 'state': 'active', 'display_name': 'atletismo'}, {'id': '90e3a2bb-07d9-4dc2-aff5-f431db2f5eed', 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Padronização das variáveis pelas normas da BD.', 'data_cleaning_code_url': 'https://github.com/basedosdados/mais/tree/master/bases/world_fifa_women_world_cup/code', 'partner_organization': {'name': None, 'organization_id': None}, 'raw_files_url': None, 'auxiliary_files_url': None, 'architecture_url': None, 'source_bucket_name': 'basedosdados-dev', 'project_id_prod': 'basedosdados-dev', 'project_id_staging': 'basedosdados-dev', 'partitions': None, 'uncompressed_file_size': None, 'compressed_file_size': None, 'columns': [{'name': 'year', 'bigquery_type': 'int64', 'description': 'Year of the tournament', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': 'br_bd_diretorios_data_tempo', 'table_id': 'data', 'column_name': 'ano'}, 'measurement_unit': 'year', 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'tournament_id', 'bigquery_type': 'string', 'description': 'ID number for the 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{'name': 'group_name', 'bigquery_type': 'string', 'description': 'Name of the group', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'match_date', 'bigquery_type': 'date', 'description': 'The date of the match', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': 'br_bd_diretorios_data_tempo', 'table_id': 'data', 'column_name': 'data'}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'match_time', 'bigquery_type': 'time', 'description': 'The time of the match', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': 'br_bd_diretorios_data_tempo', 'table_id': 'data', 'column_name': 'hora'}, 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'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'score', 'bigquery_type': 'string', 'description': 'Score of the match', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'team_a_score', 'bigquery_type': 'int64', 'description': 'Team A score', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'team_b_score', 'bigquery_type': 'int64', 'description': 'Team B score', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 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'bigquery_type': 'int64', 'description': 'Team A score on penalty', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'team_b_score_penalties', 'bigquery_type': 'int64', 'description': 'Team B score on penalty', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'team_a_win', 'bigquery_type': 'int64', 'description': 'Team A won the match', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'team_b_win', 'bigquery_type': 'int64', 'description': 'Team B won the match', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'draw', 'bigquery_type': 'int64', 'description': 'Match ended in a draw', 'temporal_coverage': ['(4)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}]}, {'id': 'b95bf3c6-56b1-446a-b8fa-5376e5155d72', 'name': 'FIFA Womens World Cup', 'description': 'Historical data of FIFA Womens World Cup.', 'position': 1, 'url': 'https://www.fifa.com/en/tournaments/womens/womensworldcup/', 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Since 2016, the organisation has been fast evolving into a body that can more effectively serve our game for the benefit of the entire world. ', 'image_url': '2022-10-18-212501.8926871200px-FlagofFIFA.svg.png', 'created': '2022-09-02T14:14:45.009958', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'num_tags': 4, 'tags': [{'id': '13e94774-bd1e-4a67-8c7c-c9033b582ac7', 'name': 'campeonato', 'vocabulary_id': None, 'state': 'active', 'display_name': 'campeonato'}, {'id': '63d4677f-1645-43e1-98cc-de6350c7176a', 'name': 'copa', 'vocabulary_id': None, 'state': 'active', 'display_name': 'copa'}, {'id': 'fed2f8a8-0502-4e13-aeec-fc0060078cbc', 'name': 'feminino', 'vocabulary_id': None, 'state': 'active', 'display_name': 'feminino'}, {'id': 'b71375e9-695c-49da-9924-69f878184304', 'name': 'futebol', 'vocabulary_id': None, 'state': 'active', 'display_name': 'futebol'}], 'relationships_as_object': [], 'relationships_as_subject': [], 'isopen': False, 'extras': [{'key': 'dataset_args', 'value': {'short_description': None, 'description': None, 'ckan_url': None, 'github_url': None}}]}, {'id': '0e4809e9-0ce4-4215-bafa-301860f26c81', 'name': 'stadiumdb', 'title': 'StadiumDB', 'type': 'dataset', 'notes': 'O StadiumDB.com é baseado no Stadiony.net, um site polonês, onde queremos apresentar estádios de futebol da maneira mais confiável - com sua vida útil desde as renderizações iniciais, passando pela construção e operação diária, até a demolição e a história por trás deles.', 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'state': 'active', 'license_id': None, 'url': '', 'version': None, 'metadata_created': '2020-02-27T16:56:42.245227', 'metadata_modified': '2022-12-20T19:08:11.588376', 'creator_user_id': '27eaffe3-f79b-469f-8f02-4716146bdfcc', 'private': False, 'license_title': None, 'num_resources': 1, 'resources': [{'id': '1c1bb261-0fdf-476e-bed0-ad87086bf3e7', 'name': 'Plataforma', 'description': '', 'position': 0, 'url': 'http://stadiumdb.com/stadiums', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-02-27T16:56:53.999094', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:08:11.594415', 'mimetype': None, 'mimetype_inner': None, 'package_id': '0e4809e9-0ce4-4215-bafa-301860f26c81', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'availability': None, 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['world'], 'temporal_coverage': [], 'update_frequency': 'recurring', 'observation_level': []}], 'groups': [{'id': '9eecd9d1-cff3-46f2-8bfd-fa803203b68f', 'name': 'esportes', 'title': 'Esportes', 'type': 'group', 'description': '', 'image_url': '2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg', 'created': '2019-10-26T20:02:36.391959', 'is_organization': False, 'approval_status': 'approved', 'state': 'active', 'capacity': 'public', 'display_name': 'Esportes', 'image_display_url': 'https://basedosdados.org/uploads/group/2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg'}], 'owner_org': '5f104cb8-3550-4549-b94a-101e3f590ae9', 'organization': {'id': '5f104cb8-3550-4549-b94a-101e3f590ae9', 'name': 'stadiumdb', 'title': 'StadiumDB', 'type': 'organization', 'description': 'stadiumdb.com', 'image_url': '2020-02-27-165252.623353images.jpeg', 'created': '2020-02-27T16:52:52.635496', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'num_tags': 2, 'tags': [{'id': '20765e50-0d88-437f-82d2-0ab74ce81491', 'name': 'estadio', 'vocabulary_id': None, 'state': 'active', 'display_name': 'estadio'}, {'id': 'b71375e9-695c-49da-9924-69f878184304', 'name': 'futebol', 'vocabulary_id': None, 'state': 'active', 'display_name': 'futebol'}], 'relationships_as_object': [], 'relationships_as_subject': [], 'isopen': False, 'extras': [{'key': 'dataset_args', 'value': {}}]}, {'id': '63cb2499-caf7-4597-b00b-23d8fcb652d6', 'name': 'soccer-match-event-dataset', 'title': 'Soccer Match Event Dataset', 'type': 'dataset', 'notes': 'A análise do futebol está atraindo um interesse crescente da academia e da indústria, graças à disponibilidade de tecnologias de detecção que fornecem fluxos de dados de alta fidelidade extraídos de cada partida. Infelizmente, esses dados detalhados são de propriedade de empresas especializadas e, portanto, raramente estão disponíveis ao público para pesquisa científica.\r\n\r\nPara preencher essa lacuna, fornecemos ao público a maior coleção aberta de registros de futebol já lançada, coletada pelo Wyscout (https://wyscout.com/) contendo todos os eventos espaço-temporais (passes, chutes, faltas, etc.) ) que ocorrem durante todos os jogos de uma temporada inteira de sete competições (Liga, Serie A, Bundesliga, Premier League, Ligue 1, Copa do Mundo da FIFA 2018, Copa do Mundo da UEFA 2016). Um evento de partida contém informações sobre sua posição, hora, resultado, jogador e características. Esse conjunto de dados foi usado recentemente durante o Soccer Data Challenge (https://sobigdata-soccerchallenge.it/) e, até onde sabemos, é a maior coleção pública\r\nde toras de futebol.', 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'state': 'active', 'license_id': None, 'url': '', 'version': None, 'metadata_created': '2020-03-14T22:12:04.667411', 'metadata_modified': '2022-12-20T19:07:48.323975', 'creator_user_id': '27eaffe3-f79b-469f-8f02-4716146bdfcc', 'private': False, 'license_title': None, 'num_resources': 1, 'resources': [{'id': 'df92820b-2686-4bbf-b20d-bcfc88624a20', 'name': 'Dados', 'description': '', 'position': 0, 'url': 'https://figshare.com/collections/Soccer_match_event_dataset/4415000', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-03-14T22:12:11.344441', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:07:48.331045', 'mimetype': None, 'mimetype_inner': None, 'package_id': '63cb2499-caf7-4597-b00b-23d8fcb652d6', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['world'], 'temporal_coverage': ['2000(1)2019'], 'update_frequency': None, 'observation_level': [{'entity': 'person'}, {'entity': 'team'}, {'entity': 'match'}]}], 'groups': [{'id': '9eecd9d1-cff3-46f2-8bfd-fa803203b68f', 'name': 'esportes', 'title': 'Esportes', 'type': 'group', 'description': '', 'image_url': '2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg', 'created': '2019-10-26T20:02:36.391959', 'is_organization': False, 'approval_status': 'approved', 'state': 'active', 'capacity': 'public', 'display_name': 'Esportes', 'image_display_url': 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pinball.', 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'state': 'active', 'license_id': None, 'url': '', 'version': None, 'metadata_created': '2020-02-19T20:01:41.304565', 'metadata_modified': '2022-12-20T19:04:59.278003', 'creator_user_id': '27eaffe3-f79b-469f-8f02-4716146bdfcc', 'private': False, 'license_title': None, 'num_resources': 3, 'resources': [{'id': '0e7987f9-8bb1-47f6-baf5-02600d1c5c0d', 'name': 'Mapa', 'description': '', 'position': 0, 'url': 'https://pinballmap.com/map', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-02-19T20:01:46.305948', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-02-14T01:29:10.890201', 'mimetype': None, 'mimetype_inner': None, 'package_id': '56ee11b0-6017-4ae4-aa72-f45177bad8f7', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 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'update_frequency': 'recurring', 'observation_level': []}, {'id': '9669cb8e-8eef-4993-9763-27f450a46fdb', 'name': 'Projeto Github', 'description': '', 'position': 2, 'url': 'https://github.com/scottwainstock/pbm/', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-02-19T20:03:56.464955', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-02-14T01:29:10.890570', 'mimetype': None, 'mimetype_inner': None, 'package_id': '56ee11b0-6017-4ae4-aa72-f45177bad8f7', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['na.us'], 'temporal_coverage': [], 'update_frequency': 'recurring', 'observation_level': []}], 'groups': [{'id': '9eecd9d1-cff3-46f2-8bfd-fa803203b68f', 'name': 'esportes', 'title': 'Esportes', 'type': 'group', 'description': '', 'image_url': '2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg', 'created': '2019-10-26T20:02:36.391959', 'is_organization': False, 'approval_status': 'approved', 'state': 'active', 'capacity': 'public', 'display_name': 'Esportes', 'image_display_url': 'https://basedosdados.org/uploads/group/2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg'}], 'owner_org': 'c4e9a7fa-19a6-4efa-9973-9bef74ec1c1c', 'organization': {'id': 'c4e9a7fa-19a6-4efa-9973-9bef74ec1c1c', 'name': 'pinball-map', 'title': 'Pinball Map', 'type': 'organization', 'description': 'pinballmap.com', 'image_url': '2020-02-19-195946.615976pinballmap-logo-3412f79ab336942e5828efe564eb5a482dc6be3b15043dd674222a90392b', 'created': '2020-02-19T19:59:46.628249', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'num_tags': 2, 'tags': [{'id': 'cd0528a7-b931-4970-8552-1809c5932d22', 'name': 'entreterimento', 'vocabulary_id': None, 'state': 'active', 'display_name': 'entreterimento'}, {'id': '63adec54-59e0-4823-a3df-9cc56062c128', 'name': 'pinball', 'vocabulary_id': None, 'state': 'active', 'display_name': 'pinball'}], 'relationships_as_object': [], 'relationships_as_subject': [], 'isopen': False, 'extras': [{'key': 'dataset_args', 'value': {}}]}, {'id': 'e6c8f888-3891-424a-9e55-37a62f293ef9', 'name': 'nba-basketball-stats', 'title': 'NBA Basketball Stats', 'type': 'dataset', 'notes': 'Portal completo com estatísticas de basquete da NBA. Inclui dados de jogadores, times e partidas ao longo de vários anos.', 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'state': 'active', 'license_id': None, 'url': 'https://stats.nba.com/', 'version': None, 'metadata_created': '2020-05-12T17:41:52.847756', 'metadata_modified': '2022-12-20T19:02:23.728812', 'creator_user_id': '27eaffe3-f79b-469f-8f02-4716146bdfcc', 'private': False, 'license_title': None, 'num_resources': 2, 'resources': [{'id': 'cbc5eea6-ef3f-45e8-8112-821aaf555562', 'name': 'NBA Shots DB (Projeto Github)', 'description': '', 'position': 0, 'url': 'https://github.com/toddwschneider/nba-shots-db', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-05-12T17:42:12.342075', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-02-14T01:28:30.740091', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e6c8f888-3891-424a-9e55-37a62f293ef9', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['na.us'], 'temporal_coverage': ['2008(1)2020'], 'update_frequency': 'recurring', 'observation_level': [{'entity': 'person'}, {'entity': 'team'}, {'entity': 'match'}]}, {'id': '9de6bda1-f34f-49ba-9a57-fe54162f35c9', 'name': 'NBA API', 'description': '', 'position': 1, 'url': 'https://pypi.org/project/nba-api/', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-05-12T17:42:47.744241', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-02-14T01:28:30.740488', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e6c8f888-3891-424a-9e55-37a62f293ef9', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['english'], 'has_structured_data': 'yes', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['na.us'], 'temporal_coverage': ['2008(1)2020'], 'update_frequency': 'recurring', 'observation_level': [{'entity': 'person'}, {'entity': 'team'}, {'entity': 'match'}]}], 'groups': [{'id': '9eecd9d1-cff3-46f2-8bfd-fa803203b68f', 'name': 'esportes', 'title': 'Esportes', 'type': 'group', 'description': '', 'image_url': '2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg', 'created': '2019-10-26T20:02:36.391959', 'is_organization': False, 'approval_status': 'approved', 'state': 'active', 'capacity': 'public', 'display_name': 'Esportes', 'image_display_url': 'https://basedosdados.org/uploads/group/2019-10-26-200236.380159forminha-festa-esportes-forminha-copy.jpg'}], 'owner_org': 'fb27746c-9a76-4b88-bdab-05abcf6e47cc', 'organization': {'id': 'fb27746c-9a76-4b88-bdab-05abcf6e47cc', 'name': 'national-basketball-association-nba', 'title': 'National Basketball Association (NBA)', 'type': 'organization', 'description': 'nba.com', 'image_url': '2020-05-12-173943.172554New-NBA-Logo-1.png', 'created': '2020-05-12T17:39:43.188218', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'num_tags': 1, 'tags': [{'id': '90e3a2bb-07d9-4dc2-aff5-f431db2f5eed', 'name': 'basquete', 'vocabulary_id': None, 'state': 'active', 'display_name': 'basquete'}], 'relationships_as_object': [], 'relationships_as_subject': [], 'isopen': False, 'extras': [{'key': 'dataset_args', 'value': {}}]}, {'id': 'e97395c3-e845-4790-86d9-7e91467531c1', 'name': 'mundo-transfermarkt-competicoes', 'title': 'Competições de Futebol', 'type': 'dataset', 'notes': 'Dados de competições de futebol no mundo com informações de partidas, times, e jogares.\r\n\r\nA tabela do campeonato brasileiro inclui dados desde 2003 com detalhes como número de gols, estádio, árbitro, técnicos, e mais. Para detalhes de código e análises, ver nosso [Github](https://github.com/basedosdados/mais/tree/master/bases/mundo_transfermarkt_competicoes).\r\n\r\n', 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'state': 'active', 'license_id': '', 'url': '', 'version': None, 'metadata_created': '2020-02-22T16:10:21.565311', 'metadata_modified': '2022-12-20T19:02:02.579994', 'creator_user_id': '27eaffe3-f79b-469f-8f02-4716146bdfcc', 'private': False, 'license_title': '', 'num_resources': 4, 'resources': [{'id': '0cbb0b62-7514-41a6-971d-e440ae58233c', 'name': 'Ferramenta de Busca', 'description': '', 'position': 0, 'url': 'https://www.transfermarkt.us/', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-02-22T16:10:37.006670', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:01:58.865295', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e97395c3-e845-4790-86d9-7e91467531c1', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['portuguese', 'english', 'german'], 'has_structured_data': 'no', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['world'], 'temporal_coverage': ['2000(1)2020'], 'update_frequency': 'recurring', 'observation_level': [{'entity': 'team'}, {'entity': 'person'}, {'entity': 'match'}]}, {'id': '79f7583d-bcc2-4caa-8690-8240ae23f4c5', 'name': 'Tutorial Raspagem de Dados', 'description': '', 'position': 1, 'url': 'https://fcpython.com/blog/introduction-scraping-data-transfermarkt', 'cache_last_updated': None, 'cache_url': None, 'created': '2020-02-22T16:11:38.621305', 'datastore_active': False, 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:02:00.719212', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e97395c3-e845-4790-86d9-7e91467531c1', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['portuguese', 'english', 'german'], 'has_structured_data': 'no', 'has_api': None, 'is_free': 'yes', 'requires_registration': 'no', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': ['world'], 'temporal_coverage': ['2000(1)2020'], 'update_frequency': 'recurring', 'observation_level': [{'entity': 'team'}, {'entity': 'person'}, {'entity': 'match'}]}, {'id': '9d14bc0d-6d90-48cd-b11a-b7f8553a474c', 'name': 'Visualizações', 'description': None, 'position': 2, 'url': 'https://www.transfermarkt.com/', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-08-16T23:39:36.908531', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:02:02.591835', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e97395c3-e845-4790-86d9-7e91467531c1', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'external_link', 'language': ['portuguese'], 'has_api': 'no', 'is_free': 'yes', 'requires_registration': 'no', 'availability': 'online', 'country_ip_address_required': None, 'license': 'mit', 'spatial_coverage': None, 'temporal_coverage': [], 'observation_level': []}, {'id': '23e8dde9-ffb8-4e7c-a92b-83d4ef9d2c79', 'name': 'brasileirao_serie_a', 'description': 'Dados do campeonato brasileiro desde 2003. Dados de 2003-03-29 até 2006-12-03 possuem somente as seguintes informações: data, horario, rodada, estadio, time_man, time_vis, gols_man, gols_vis. O motivo é que o site não disponibilizou outras informações. A partir de 2007-05-03, informações mais completas foram disponibilizadas, contudo com algumas exceções. Outra ponto é que tecnico_man e tecnico_vis possuem alguns valores vazios devido a mudança de padrão. Geralmente técnicos possui id = 0. Contudo quando o técnico é um ex-jogador, ele possui um id específico. Em consequência da inconsistência no padrão do id dos técnicos, linhas em que esse erro ocorre as colunas valor_equipe_titular_man, valor_equipe_titular_vis, idade_media_titular_man, idade_media_titular_vis, também são afetadas e resultando em vazio. Na data de 2016-12-11, rodada 38, a partida entre Chapecoense e Atlético-MG não ocorreu em decorrência do desastre que atingiu a equipe do Chapecoense na época, resultando assim em W.O. duplo;Fonte: https://www.transfermarkt.com/campeonato-brasileiro-serie-a/startseite/wettbewerb/BRA1', 'position': 3, 'url': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-03-31T04:40:21.288878', 'format': '', 'hash': '', 'last_modified': None, 'metadata_modified': '2022-12-20T19:01:58.865889', 'mimetype': None, 'mimetype_inner': None, 'package_id': 'e97395c3-e845-4790-86d9-7e91467531c1', 'size': None, 'state': 'active', 'url_type': None, 'resource_type': 'bdm_table', 'dataset_id': 'mundo_transfermarkt_competicoes', 'table_id': 'brasileirao_serie_a', 'spatial_coverage': ['sa.br'], 'temporal_coverage': ['2003(1)2021'], 'update_frequency': 'recurring', 'observation_level': [{'entity': 'match'}, {'entity': 'date', 'columns': ['data']}, {'columns': ['time_man']}, {'columns': ['time_vis']}], 'last_updated': {'metadata': None, 'data': None, 'release': None}, 'version': 'v1.0', 'published_by': {'name': 'Ricardo Dahis', 'email': 'rdahis@basedosdados.org', 'github_user': '', 'ckan_user': '', 'website': 'www.ricardodahis.com'}, 'data_cleaned_by': {'name': 'Eduardo Bartholomay', 'email': 'elbartholomay@gmail.com', 'github_user': '', 'ckan_user': '', 'website': 'https://edubarth.github.io/'}, 'data_cleaning_description': '- Variável de técnico está vazia para técnicos que são ex-jogadores.\n', 'data_cleaning_code_url': 'https://github.com/basedosdados/mais/tree/master/bases/mundo_transfermarkt_competicoes/code', 'partner_organization': {'name': '', 'organization_id': ''}, 'raw_files_url': None, 'auxiliary_files_url': None, 'architecture_url': None, 'source_bucket_name': 'basedosdados-dev', 'project_id_prod': 'basedosdados-dev', 'project_id_staging': 'basedosdados-dev', 'partitions': [], 'uncompressed_file_size': None, 'compressed_file_size': None, 'columns': [{'name': 'ano_campeonato', 'bigquery_type': 'int64', 'description': 'Ano do campeonato', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'data', 'bigquery_type': 'date', 'description': 'Data da partida', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'horario', 'bigquery_type': 'string', 'description': 'Horário da partida', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'rodada', 'bigquery_type': 'int64', 'description': 'Rodada', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'estadio', 'bigquery_type': 'string', 'description': 'Estádio', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'arbitro', 'bigquery_type': 'string', 'description': 'Árbitro', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'publico', 'bigquery_type': 'int64', 'description': 'Público presente', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'publico_max', 'bigquery_type': 'int64', 'description': 'Público máximo', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'time_man', 'bigquery_type': 'string', 'description': 'Time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'time_vis', 'bigquery_type': 'string', 'description': 'Time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'tecnico_man', 'bigquery_type': 'string', 'description': 'Técnico do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'tecnico_vis', 'bigquery_type': 'string', 'description': 'Técnico do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'colocacao_man', 'bigquery_type': 'int64', 'description': 'Colocação do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'colocacao_vis', 'bigquery_type': 'int64', 'description': 'Colocação do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'valor_equipe_titular_man', 'bigquery_type': 'int64', 'description': 'Valor da equipe titular do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'valor_equipe_titular_vis', 'bigquery_type': 'int64', 'description': 'Valor da equipe titular do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'idade_media_titular_man', 'bigquery_type': 'float64', 'description': 'Idade média da equipe titular do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'idade_media_titular_vis', 'bigquery_type': 'float64', 'description': 'Idade média da equipe titular do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'gols_man', 'bigquery_type': 'int64', 'description': 'Gols do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'gols_vis', 'bigquery_type': 'int64', 'description': 'Gols do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'gols_1_tempo_man', 'bigquery_type': 'int64', 'description': 'Gols no primeiro tempo do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'gols_1_tempo_vis', 'bigquery_type': 'int64', 'description': 'Gols no primeiro tempo do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'escanteios_man', 'bigquery_type': 'int64', 'description': 'Escanteios do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'escanteios_vis', 'bigquery_type': 'int64', 'description': 'Escanteios do time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'faltas_man', 'bigquery_type': 'int64', 'description': 'Faltas feitas pelo time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'faltas_vis', 'bigquery_type': 'int64', 'description': 'Faltas feitas pelo time visitante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'chutes_bola_parada_man', 'bigquery_type': 'int64', 'description': 'Chutes de bola parada do time mandante', 'temporal_coverage': ['(1)'], 'covered_by_dictionary': 'no', 'directory_column': {'dataset_id': None, 'table_id': None, 'column_name': None}, 'measurement_unit': None, 'has_sensitive_data': 'no', 'observations': None, 'is_in_staging': True, 'is_partition': False}, {'name': 'chutes_bola_parada_vis', 'bigquery_type': 'int64', 'description': 'Chutes de bola parada do time visitante', 'temporal_coverage': ['(1)'], 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