cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r2guve
title: Occurrence Download

description: A dataset containing 959 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turpinia cochinchinensis (Lour.) Merr."
 ]
}

 The dataset includes 959 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030826-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11812386
title: NSF Awards Dataset
DOI: 10.15468/dl.heyjqh
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Momordica cissoides Planch. ex Benth."
 ]
}

 The dataset includes 222 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030828-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11060512
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2021 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2022 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2023 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034563
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7038120
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2021, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection OCC-CHEMMON2021 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7808960
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection OCC-CHEMMON2021 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection OCC-CHEMMON2022 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15412732
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2021 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2022 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2023 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2024 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034562
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Slovenia

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2021 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2022 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2023 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection

OCC-CHEMMON2024 – Health Inspectorate of the Republic of Slovenia, Administration for Food Safety, Veterinary Sector and Plant Protection
description: SI; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15412735
title: Ilsenburg Hirsch-Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15412736
title: Ilsenburg Hirsch-Apotheke

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.15468/dl.tuxcgz
title: Occurrence Download

description: A dataset containing 20600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Country is Albania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20600 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030830-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399467
title: SemRepo.org

description: We provide SemRepo, an RDF knowledge graph of nearly 200,000 GitHub repositories linked to scientific papers. It contains over 81 million triples describing contributors, issues, dependencies, and languages, and connects repository authors to profiles in SemOpenAlex.

 

What exactly do we provide?



Periodically updated RDF dump files of the SemRepo Knowledge Graph.

URI resolution of the SemRepo Knowledge Graph within the Linked Open Data Cloud.

A publicly accessible SPARQL endpoint containing the latest SemRepo Knowledge Graph data.

Semantic interlinking of GitHub repositories with LinkedPapersWithCode , MLSea publications and SemOpenAlex author profiles.

An OWL ontology with 19 classes and 47 relations for modelling research-connected software repositories.


How big is the Data Set Knowledge Graph?

SemRepo.org contains

🗃️ Repositories: 197,566

🧑‍💻 Contributors: 2,916,508

🏷️ Issues: 2,609,510

🏢 Organizations: 12,879

🧠 Packages: 95,505

🧵 Topics: 272,378

🧑‍🔬 Linked SemOpenAlex Authors: 11,867

🔗 Linked LPWC Repositories: 197,566

🔗 MLSea Software entities: 148,185

 

Potential use cases:



Track research reproducibility by linking papers to active GitHub repositories and development metrics.

Analyze collaboration patterns through contributor–repository graphs and team activity signals.

Bridge research and industry by identifying open-source implementations of academic work.

Discover expertise based on real code contributions, languages used, and package dependencies.

Monitor technology trends and software adoption across research domains in real time.


 

More information can be found at https://semrepo.org/
DOI: 10.5281/zenodo.15399468
title: SemRepo.org

description: We provide SemRepo, an RDF knowledge graph of nearly 200,000 GitHub repositories linked to scientific papers. It contains over 81 million triples describing contributors, issues, dependencies, and languages, and connects repository authors to profiles in SemOpenAlex.

 

What exactly do we provide?



Periodically updated RDF dump files of the SemRepo Knowledge Graph.

URI resolution of the SemRepo Knowledge Graph within the Linked Open Data Cloud.

A publicly accessible SPARQL endpoint containing the latest SemRepo Knowledge Graph data.

Semantic interlinking of GitHub repositories with LinkedPapersWithCode , MLSea publications and SemOpenAlex author profiles.

An OWL ontology with 19 classes and 47 relations for modelling research-connected software repositories.


How big is the Data Set Knowledge Graph?

SemRepo.org contains

🗃️ Repositories: 197,566

🧑‍💻 Contributors: 2,916,508

🏷️ Issues: 2,609,510

🏢 Organizations: 12,879

🧠 Packages: 95,505

🧵 Topics: 272,378

🧑‍🔬 Linked SemOpenAlex Authors: 11,867

🔗 Linked LPWC Repositories: 197,566

🔗 MLSea Software entities: 148,185

 

Potential use cases:



Track research reproducibility by linking papers to active GitHub repositories and development metrics.

Analyze collaboration patterns through contributor–repository graphs and team activity signals.

Bridge research and industry by identifying open-source implementations of academic work.

Discover expertise based on real code contributions, languages used, and package dependencies.

Monitor technology trends and software adoption across research domains in real time.


 

More information can be found at https://semrepo.org/
DOI: 10.15468/dl.fmee3t
title: Occurrence Download

description: A dataset containing 5503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.88813 -21.85228,-67.94948 -21.85228,-67.94948 -20.96779,-68.88813 -20.96779,-68.88813 -21.85228))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5503 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030831-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2fsd3r
title: CCDC 2257764: Experimental Crystal Structure Determination

description: Related Article: Yeqin Feng, Fangyu Fu, Linlin Zeng, Mengyun Zhao, Xing Xin, Jiakai Liang, Meng Zhou, Xikui Fang, Hongjin Lv, Guo-Yu Yang|2024|Angew.Chem.,Int.Ed.|63|e202317341|doi:10.1002/anie.202317341
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gscqc
title: CCDC 2287543: Experimental Crystal Structure Determination

description: Related Article: Yeqin Feng, Fangyu Fu, Linlin Zeng, Mengyun Zhao, Xing Xin, Jiakai Liang, Meng Zhou, Xikui Fang, Hongjin Lv, Guo-Yu Yang|2024|Angew.Chem.,Int.Ed.|63|e202317341|doi:10.1002/anie.202317341
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2gspgf
title: CSD 2287845: Experimental Crystal Structure Determination

description: Related Article: Yeqin Feng, Fangyu Fu, Linlin Zeng, Mengyun Zhao, Xing Xin, Jiakai Liang, Meng Zhou, Xikui Fang, Hongjin Lv, Guo-Yu Yang|2024|Angew.Chem.,Int.Ed.|63|e202317341|doi:10.1002/anie.202317341
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24299581
title: HD-GBS data of 176 drug-type accessions

description: These data were used to conduct GWAS on 176 drug-type cannabis for agronomic traits and cannabinoid profiles.
DOI: 10.6084/m9.figshare.29066417
title: genome_assemblies.tar.gz

description: Staphylococcus epidermidis whole genome sequences. Isolates used for characterising host-range of Staphylococcus epidermidis sepunaviruses.
DOI: 10.7939/r3-rjcb-s846
title: Relationships 2016

description: This item consists of two files: the dataset and the dataset list (a key to the fields in the dataset file).
DOI: 10.15468/dl.9cva47
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-73.94418 44.98195,-75.23957 44.91419,-76.36633 43.48101,-75.65541 42.28937,-74.28436 42.59742,-70.33577 42.64442,-66.5545 44.56984,-67.67427 47.26398,-69.18529 47.36568,-71.2303 45.42309,-73.94418 44.98195))",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix argyrocarpa Andersson"
 ]
}

 The dataset includes 47 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030832-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13358932
title: Quantifying batch effects for individual genes in single-cell data

description: The normalized datasets and their data source used in the GTE manuscript. Because several datasets are too large to upload the whole gene set, we only upload the data matrix of highly variable genes (HVGs). The codes can be found at https://github.com/yzhou1999/GTEs.