cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.utator
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Türkiye",
 "Country is Armenia",
 "Country is Georgia",
 "Country is Syrian Arab Republic"
 ]
 },
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 38 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012772-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.101255
title: KELLIA_di_1982_00887

description: Référence : di_1982_00887<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement du disciple (QR_88); QR_88<br />Type : photographie<br />
DOI: 10.15468/dl.k22ky3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cudonigera houstonana (Grote, 1873)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0385651-210914110416597/datasets/export for details.
DOI: 10.34816/ifao.archives.101254
title: KELLIA_di_1982_00886

description: Référence : di_1982_00886<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : QR_135<br />Type : photographie<br />
DOI: 10.15468/dl.wybswx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum schuitemanii J.J.Verm."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104924-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qxwti
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du/de la naturaliste delecour vincent provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012783-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knkaae
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyloscirtus lindae (Duellman & Altig, 1978)"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301636-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfykka
title: Occurrence Download

description: A dataset containing 836 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus loscosii Willk."
 ]
}

 The dataset includes 836 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014772-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnb25s
title: Occurrence Download

description: A dataset containing 1005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Asplenium billotii F.W.Schultz",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1005 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050074-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmhvtk
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avipedidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014787-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf8pwx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnonectes cintalubang Matsui, Nishikawa & Eto, 2014"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301648-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxh7es
title: Occurrence Download

description: A dataset containing 3839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Solanum pseudocapsicum L."
 ]
}

 The dataset includes 3839 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277734-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.101253
title: KELLIA_di_1982_00885

description: Référence : di_1982_00885<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement du disciple (QR_88); QR_88<br />Type : photographie<br />
DOI: 10.15468/dl.cr2qq4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centrolene condor Cisneros-Heredia & Morales-Mite, 2008"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301661-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.101252
title: KELLIA_di_1982_00884

description: Référence : di_1982_00884<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement du disciple (QR_88); QR_88<br />Type : photographie<br />
DOI: 10.15468/dl.vw8gpt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperornidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014810-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.101251
title: KELLIA_di_1982_00883

description: Référence : di_1982_00883<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement du disciple (QR_88); QR_88<br />Type : photographie<br />
DOI: 10.15468/dl.tqwp3h
title: Occurrence Download

description: A dataset containing 855836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Switzerland, Austria, Türkiye, Russian Federation, Belarus, Ukraine, Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Romania, Bulgaria, North Macedonia, Albania, Slovenia, Croatia, Bosnia and Herzegovina, Hungary, Slovakia, Czechia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Filipendula ulmaria (L.) Maxim."
 ]
}

 The dataset includes 855836 records from 1952 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199624-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12681314
title: SchemaPile: A Large Collection of Relational Database Schemas

description: Access to fine-grained schema information is crucial for understanding how relational databases are designed and used in practice, and for building systems that help users interact with them. Furthermore, such information is required as training data to leverage the potential of large language models (LLMs) for improving data preparation, data integration and natural language querying.Existing single-table corpora such as GitTables provide insights into how tables are structured in-the-wild, but lack detailed schema information about how tables relate to each other, as well as metadata like data types or integrity constraints. On the other hand, existing multi-table (or database schema) datasets are rather small and attribute-poor, leaving it unclear to what extent they actually represent typical real-world database schemas. 

In order to address these challenges, we present SchemaPile, a corpus of 221,171 database schemas, extracted from SQL files on GitHub. It contains 1.7 million tables with 10 million column definitions, 700 thousand foreign key relationships, seven million integrity constraints, and data content for more than 340 thousand tables. We conduct an in-depth analysis on the millions of schema metadata properties in our corpus, as well as its highly diverse language and topic distribution. In addition, we showcase the potential of SchemaPile to improve a variety of data management applications, e.g., fine-tuning LLMs for schema-only foreign key detection, improving CSV header detection and evaluating multi-dialect SQL parsers. We publish the code and data for recreating SchemaPile and a permissively licensed subset SchemaPile-Perm. 

http://schemapile.github.io
DOI: 10.5281/zenodo.12681315
title: SchemaPile: A Large Collection of Relational Database Schemas

description: Access to fine-grained schema information is crucial for understanding how relational databases are designed and used in practice, and for building systems that help users interact with them. Furthermore, such information is required as training data to leverage the potential of large language models (LLMs) for improving data preparation, data integration and natural language querying.Existing single-table corpora such as GitTables provide insights into how tables are structured in-the-wild, but lack detailed schema information about how tables relate to each other, as well as metadata like data types or integrity constraints. On the other hand, existing multi-table (or database schema) datasets are rather small and attribute-poor, leaving it unclear to what extent they actually represent typical real-world database schemas. 

In order to address these challenges, we present SchemaPile, a corpus of 221,171 database schemas, extracted from SQL files on GitHub. It contains 1.7 million tables with 10 million column definitions, 700 thousand foreign key relationships, seven million integrity constraints, and data content for more than 340 thousand tables. We conduct an in-depth analysis on the millions of schema metadata properties in our corpus, as well as its highly diverse language and topic distribution. In addition, we showcase the potential of SchemaPile to improve a variety of data management applications, e.g., fine-tuning LLMs for schema-only foreign key detection, improving CSV header detection and evaluating multi-dialect SQL parsers. We publish the code and data for recreating SchemaPile and a permissively licensed subset SchemaPile-Perm. 

http://schemapile.github.io
DOI: 10.5281/zenodo.12682521
title: SchemaPile: A Large Collection of Relational Database Schemas

description: Access to fine-grained schema information is crucial for understanding how relational databases are designed and used in practice, and for building systems that help users interact with them. Furthermore, such information is required as training data to leverage the potential of large language models (LLMs) for improving data preparation, data integration and natural language querying.Existing single-table corpora such as GitTables provide insights into how tables are structured in-the-wild, but lack detailed schema information about how tables relate to each other, as well as metadata like data types or integrity constraints. On the other hand, existing multi-table (or database schema) datasets are rather small and attribute-poor, leaving it unclear to what extent they actually represent typical real-world database schemas. 

In order to address these challenges, we present SchemaPile, a corpus of 221,171 database schemas, extracted from SQL files on GitHub. It contains 1.7 million tables with 10 million column definitions, 700 thousand foreign key relationships, seven million integrity constraints, and data content for more than 340 thousand tables. We conduct an in-depth analysis on the millions of schema metadata properties in our corpus, as well as its highly diverse language and topic distribution. In addition, we showcase the potential of SchemaPile to improve a variety of data management applications, e.g., fine-tuning LLMs for schema-only foreign key detection, improving CSV header detection and evaluating multi-dialect SQL parsers. We publish the code and data for recreating SchemaPile and a permissively licensed subset SchemaPile-Perm. 

http://schemapile.github.io
DOI: 10.15468/dl.yk65n3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Rhipidomys albujai Brito & Ojala-Barbour, 2017"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015695-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9ddys
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (Observation.org, Nature data from around the World, Inventario multitaxonómico: PN El Potosí y RB Sierra del Abra Tanchipa (San Luis Potosí), CNAN/Escorpiones Estado de Mexico, Museum of Comparative Zoology, Harvard University, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (invertebrados), CNAN/Scorpiones, iNaturalist Research-grade Observations, Actualización de la Colección de Artrópodos con importancia médica (CAIM), Laboratorio de Entomología, InDRE, Apoyo para la infraestructura de la colección de artrópodos con y sin importancia médica del Laboratorio Estatal de Salud Pública del Estado de Guanajuato, Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection)",
 "GadmGid is MEX.21_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centruroides Marx, 1890"
 ]
}

 The dataset includes 751 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015696-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11394882
title: Clinic kuwait ௵+918133066128௹Abortion pills in Kuwait)) Cytotec available

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DOI: 10.5281/zenodo.11394914
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