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

description: A dataset containing 105275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caesalpinia violacea, Thyrsacanthus nitidus, Tecoma capensis, Kalanchoe deficiens, Ipomoea fistulosa, Merremia aegyptia, Merremia cissoides, Merremia tuberosa, Aster squamatus, Aphis forbesi, Mesopolobus spermotrophus, Thrips simplex, Berberis aquifolium, Consolida orientalis, Anguillicoloides crassus, Pseudodactylogyrus anguillae, Pseudodactylogyrus bini, Lamiastrum galeobdolon, Holopothrips inquilinus, Cymbopogon winterianus)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 105275 records from 505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035762-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ep6c9x
title: Occurrence Download

description: A dataset containing 410715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Kenya",
 "GadmGid is one of (KEN.33.6_1, KEN.33.2_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 410715 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029893-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqfr38
title: Occurrence Download

description: A dataset containing 3522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dypsis lutescens (H.Wendl.) Beentje & J.Dransf., Dypsis lutescens (H.Wendl.) Beentje & J.Dransf., Cinchona calisaya Wedd., Cinnamomum camphora (L.) J.Presl, Cinnamomum verum J.Presl, Citrus ×aurantium L., Citrus japonica Thunb., Citrus maxima (Burm.) Merr., Citrus reticulata Blanco, Citrus ×aurantium L., Citrus ×limon (L.) Osbeck, Cleidiocarpon cavaleriei (H.Lév.) Airy Shaw, Clerodendrum hildebrandtii Vatke, Miconia crenata (Vahl) Michelang., Cocos nucifera L., Coffea arabica L., Coffea liberica W.Bull)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3522 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029939-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x3sm2
title: Occurrence Download

description: A dataset containing 100497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 100497 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029925-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23gaq4
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Passiflora edulis Sims, Passiflora caerulea L.)"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029940-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/hjkv-fxnv
title: Sum_nitric_acid_and_nitrate at Hallahus

description: Measurement of Sum_nitric_acid_and_nitrate at Hallahus
DOI: 10.48597/jysr-er8x
title: Potassium at Hallahus

description: Measurement of Potassium at Hallahus
DOI: 10.48597/nces-qnd4
title: Sodium at Hallahus

description: Measurement of Sodium at Hallahus
DOI: 10.48597/thx3-av44
title: Ammonia at Hallahus

description: Measurement of Ammonia at Hallahus
DOI: 10.48597/wj9t-cf8s
title: Sum_ammonia_and_ammonium at Hallahus

description: Measurement of Sum_ammonia_and_ammonium at Hallahus
DOI: 10.48597/6kw6-w425
title: Measurement of Nitrate at Hallahus

description: Measurement of Nitrate at Hallahus
DOI: 10.48597/z8sm-rtqs
title: Calcium at Hallahus

description: Measurement of Calcium at Hallahus
DOI: 10.48597/bgm7-yhgk
title: Measurement of Sum_nitric_acid_and_nitrate at Hallahus

description: Measurement of Sum_nitric_acid_and_nitrate at Hallahus
DOI: 10.48597/epg4-tg25
title: Measurement of Sodium at Hallahus

description: Measurement of Sodium at Hallahus
DOI: 10.48597/h9qy-yacq
title: Measurement of Sum_ammonia_and_ammonium at Hallahus

description: Measurement of Sum_ammonia_and_ammonium at Hallahus
DOI: 10.48597/hcjb-d2mt
title: Measurement of Potassium at Hallahus

description: Measurement of Potassium at Hallahus
DOI: 10.48597/rptc-e88k
title: Measurement of Magnesium at Hallahus

description: Measurement of Magnesium at Hallahus
DOI: 10.48597/tmpp-wkzm
title: Measurement of Ammonia at Hallahus

description: Measurement of Ammonia at Hallahus
DOI: 10.48597/tpbs-8uke
title: Measurement of Nitric_acid at Hallahus

description: Measurement of Nitric_acid at Hallahus
DOI: 10.48597/wfav-qhwx
title: Measurement of Sulphur_dioxide at Hallahus

description: Measurement of Sulphur_dioxide at Hallahus
DOI: 10.48597/x7nk-g2vy
title: Measurement of Sulphate_total at Hallahus

description: Measurement of Sulphate_total at Hallahus
DOI: 10.48597/xufj-4wjh
title: Measurement of Calcium at Hallahus

description: Measurement of Calcium at Hallahus
DOI: 10.48597/yxjk-f2hr
title: Measurement of Chloride at Hallahus

description: Measurement of Chloride at Hallahus
DOI: 10.48597/2zp9-9e9v
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/m4at-g9ta
title: Measurement of Sulphate_corrected at Hallahus

description: Measurement of Sulphate_corrected at Hallahus
DOI: 10.48597/45gp-9dyz
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/bxbw-psxq
title: Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/2xaj-bzvk
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/332w-urwk
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/4evs-wdnv
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/8z3d-rryz
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.48597/nguq-zxk3
title: Measurement of Inorganics in air and particle phase at Hallahus

description: Measurement of Inorganics in air and particle phase at Hallahus
DOI: 10.5281/zenodo.15401968
title: European Region-to-Region Origin Destination Matrices

description: The study utilizes a comprehensive dataset of region-to-region origin-destination matrices capturing various types of flows across European NUTS2 regions from 2010 to 2018. The data, sourced from the ESPON IRiE (Interregional Relations in Europe) project and downloaded from the ESPON Database, includes matrices for:

- Migration- Tourism- Foreign Direct Investment (FDI)- Remittances- Freight transport- Passenger transport- Erasmus student exchanges- Horizon 2020 research collaborations

This unique dataset provides a multifaceted view of interregional connections within Europe, allowing for in-depth analysis of economic, social, and knowledge flows between regions.

The accompanying code repository contains scripts used to process and analyze the IRiE data. Key components include:

- Data cleaning and preprocessing routines- Statistical and network single-layer and multilayer analysis

All code is written in R and Python.
DOI: 10.5281/zenodo.15401969
title: European Region-to-Region Origin Destination Matrices

description: The study utilizes a comprehensive dataset of region-to-region origin-destination matrices capturing various types of flows across European NUTS2 regions from 2010 to 2018. The data, sourced from the ESPON IRiE (Interregional Relations in Europe) project and downloaded from the ESPON Database, includes matrices for:

- Migration- Tourism- Foreign Direct Investment (FDI)- Remittances- Freight transport- Passenger transport- Erasmus student exchanges- Horizon 2020 research collaborations

This unique dataset provides a multifaceted view of interregional connections within Europe, allowing for in-depth analysis of economic, social, and knowledge flows between regions.

The accompanying code repository contains scripts used to process and analyze the IRiE data. Key components include:

- Data cleaning and preprocessing routines- Statistical and network single-layer and multilayer analysis

All code is written in R and Python.
DOI: 10.5281/zenodo.11068282
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2022 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2023 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15402714
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2022 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2023 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2024 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034583
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2022 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2023 – National Food Institute - The Technical University of Denmark

OCC-CHEMMON2024 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7034584
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7038178
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7808395
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Denmark

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 – National Food Institute - The Technical University of Denmark OCC-CHEMMON2021 – National Food Institute - The Technical University of Denmark OCC-CHEMMON2022 – National Food Institute - The Technical University of Denmark
description: DK; CSV; data.collection@efsa.europa.eu
DOI: 10.6084/m9.figshare.29063117
title: Sorghum virgatum genome annotation

description: Sorghum virgatum genome annotation
DOI: 10.15468/dl.n78xr4
title: Occurrence Download

description: A dataset containing 7124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coffea canephora Pierre ex A.Froehner, Combretum alfredi Hance, Combretum indicum (L.) De Filipps, Combretum quadrangulare Kurz, Commelina diffusa Burm.f., Cordia dichotoma G.Forst., Dracaena reflexa Lam., Cordyline fruticosa (L.) A.Chev., Cornus florida L., Corylus avellana L., Corylus heterophylla Fisch. ex Trautv., Crataegus pinnatifida Bunge, Crescentia cujete L., Crotalaria pallida Aiton, Cunninghamia lanceolata (Lamb.) Hook., Cuphea hookeriana Walp., Cydonia oblonga Mill., Cyrtostachys renda Blume, Cyrtostachys renda Blume)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7124 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029942-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15013513
title: Reproduction package for "X-Shooting ULLYSES: massive stars at low metallicity - XII. The clumped winds of O-type (super)giants in the Large Magellanic Cloud"

description: This package belongs to the paper "X-Shooting ULLYSES: massive stars at low metallicity - XII. The clumped winds of O-type (super)giants in the Large Magellanic Cloud" by [Brands, Backs, de Koter et al. (A&A, 2025)]. 

For more details about the content of this package, see Readme.md
DOI: 10.5281/zenodo.15013514
title: Reproduction package for "X-Shooting ULLYSES: massive stars at low metallicity - XII. The clumped winds of O-type (super)giants in the Large Magellanic Cloud"

description: This package belongs to the paper "X-Shooting ULLYSES: massive stars at low metallicity - XII. The clumped winds of O-type (super)giants in the Large Magellanic Cloud" by [Brands, Backs, de Koter et al. (A&A, 2025)]. 

For more details about the content of this package, see Readme.md