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zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2021 &ndash; Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2022 &ndash; Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2023 &ndash; Austrian Agency for Health and Food Safety</p> <p>OCC-CHEMMON2024 &ndash; Austrian Agency for Health and Food Safety</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Lithuanian results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2022 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2021 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2020 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2019 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2018 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2017 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2016 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2015 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2014 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2013 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2012 - National Food and Veterinary Risk Assessment Institute</p> <p>MOPER_2011 - National Food and Veterinary Risk Assessment Institute</p> <p>&nbsp;</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Greece

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Hellenic Food Authority, Ministry of Rural Development and Food</p> <p>OCC-CHEMMON2021 &ndash; Hellenic Food Authority, Ministry of Rural Development and Food</p> <p>OCC-CHEMMON2022 &ndash; Hellenic Food Authority, Ministry of Rural Development and Food</p> <p>OCC-CHEMMON2023 &ndash; Hellenic Food Authority, Ministry of Rural Development and Food</p> <p>OCC-CHEMMON2024 &ndash; Hellenic Food Authority, Ministry of Rural Development and Food</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Irish results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2022 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2021 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2020 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2019 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2018 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2017 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2016 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2015 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2014 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2013 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2012 - Department of Agriculture, Food and the Marine</p> <p>MOPER_2011 - Department of Agriculture, Food and the Marine</p> <p>&nbsp;</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Malta

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in the &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Ministry for Health</p> <p>OCC-CHEMMON2021 &ndash; Ministry for Health</p> <p>OCC-CHEMMON2022 &ndash; Ministry for Health</p> <p>OCC-CHEMMON2023 &ndash; Ministry for Health</p> <p>OCC-CHEMMON2024 &ndash; Ministry for Health</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Ireland

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Food Safety Authority of Ireland, Marine Institute, Department of Agriculture, Food and the Marine</p> <p>OCC-CHEMMON2021 &ndash; Food Safety Authority of Ireland</p> <p>OCC-CHEMMON2022 &ndash; Food Safety Authority of Ireland</p> <p>OCC-CHEMMON2023 &ndash; Food Safety Authority of Ireland;&nbsp;Department of Agriculture, Environment and Rural Affairs</p> <p>OCC-CHEMMON2024 &ndash; Food Safety Authority of Ireland; Department of Agriculture, Environment and Rural Affairs</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Italy

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: &nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.&nbsp;</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Ministry of Health</p> <p>OCC-CHEMMON2021 &ndash; Ministry of Health</p> <p>OCC-CHEMMON2022 &ndash; Ministry of Health</p> <p>OCC-CHEMMON2023 &ndash; Ministry of Health</p> <p>OCC-CHEMMON2024 &ndash; Ministry of Health</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Finland

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Finnish Food Authority</p> <p>OCC-CHEMMON2021 &ndash; Finnish Food &nbsp;Authority</p> <p>OCC-CHEMMON2022 &ndash; Finnish Food &nbsp;Authority</p> <p>OCC-CHEMMON2023 &ndash; Finnish Food &nbsp;Authority;&nbsp;Finnish Customs</p> <p>OCC-CHEMMON2024 &ndash; Finnish Food &nbsp;Authority; Finnish Customs</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Dutch results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2022 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2021 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2020 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2019&nbsp;- Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2018 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2017 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2016 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2015 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2014 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2013 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2012 - Netherlands Food and Consumer Product Safety Authority</p> <p>MOPER_2011 - Netherlands Food and Consumer Product Safety Authority</p> <p>&nbsp;</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Bosnia and Herzegovina results from the monitoring of pesticide residues in food

<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called &ldquo;maximum residue levels&rdquo; or briefly &ldquo;MRLs&rdquo;, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.&nbsp;The chemical monitoring data collected and published by EFSA include the analytical results provided by&nbsp;EU Member States, Iceland,&nbsp;Norway and three pre-accession countries: Bosnia-Herzegovina, Montenegro and North Macedonia.&nbsp;</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample &nbsp;with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p>&nbsp;</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2023 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2022 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2021 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2020 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2019 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2018 - Food Safety Agency of Bosnia and Herzegovina</p> <p>MOPER_2017 - Food Safety Agency of Bosnia and Herzegovina</p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br>https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

Results from national testing programs on the occurrence of chemical contaminants in food and feed - Bulgaria

<p>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&rsquo;s scientific opinions and reports on contaminants in food and feed.&nbsp;&nbsp;</p> <p>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.&nbsp;</p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:&nbsp;&nbsp;</p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>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 &lsquo;sampY&rsquo;).&nbsp;</p> <p>More details are available in last year's finalised call for data &lsquo;<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>&rsquo;.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:&nbsp;</p> <p>OCC-CHEMMON2020 &ndash; Risk Assessment Center on Food Chain</p> <p>OCC-CHEMMON2021 &ndash; Risk Assessment Center on Food Chain</p> <p>OCC-CHEMMON2022&nbsp;&ndash; Risk Assessment Center on Food Chain</p> <p>OCC-CHEMMON2023 &ndash; Risk Assessment Center on Food Chain</p> <p>OCC-CHEMMON2024 &ndash; Risk Assessment Center on Food Chain</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

GFSI-MRM Supplemental data and extended results

<p>Supplemental data and extended results&nbsp;associated with the article entitled '<strong>Ambitious food system interventions required to mitigate the risk of exceeding Earth&rsquo;s environmental limits</strong>' (see Hadjikakou et al., 2025, <em>One Earth, </em><a href="https://doi.org/10.1016/j.oneear.2025.101351">https://doi.org/10.1016/j.oneear.2025.101351</a>).</p> <p>This repository contains the following files:</p> <ul> <li>Systematic search results and strings used to identify studies (<strong><em>Systematic_search_details.xlsx</em></strong>)</li> <li>A&nbsp;harmonised input database assembled from systematically selected studies (<strong><em>Harmonised_input_database.xlsx</em></strong>)</li> <li>Mapping of all on-ground actions in the literature to food system interventions (<strong><em>Action-intervention mapping.xlsx</em></strong>)</li> <li>Source data for key figures in the article and SI (<strong><em>Source data for figures.xlsx</em></strong>)</li> <li>Linear mixed model (LMM) predictions in physical units across all environmental indicators for all intervention combinations&nbsp; (<strong><em>Extended_results - LMM_indicator_predictions.zip</em></strong>)</li> <li>Risk estimates across all environmental limits for all intervention combinations (<strong><em>Extended_results - Risk_estimates_across_environmental_limits.zip</em></strong>)</li> </ul> <p>For all code, see the Global Food System Intervention Meta-Regression Model (<a href="https://github.com/MichalisHadjikakou/GFSI-MRM"><strong>GFSI-MRM</strong></a>).&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Semantic Enrichment of the Laboratory Data Dictionary of the Study of Health in Pomerania (SHIP-START-4) with LOINC; Detailed Mapping Results

<p>Unlike West Germany, high morbidity and mortality have been observed in East Germany over the last century. The regional population-based Study of Health in Pomerania (SHIP) therefore investigates the long-term progression of sub-clinical findings, their determinants and prognostic values, to acquire knowledge that facilitates early diagnosis and thus helps prevent the progression of disease. &nbsp;The SHIP covers various areas of patient health. Each SHIP data set is accompanied by a data dictionary (DD) which provides descriptions of variables and definitions.</p> <p>This work shows the detailed mapping results of the semantic enrichment of the SHIP-START-4 medical laboratory data dictionary with LOINC codes. This work also provides detailed descriptions of the concepts applied in the semnatic enrichment. The results of this work serve as a critical step towards improving its interoperability and hence FAIRness for the SHIP laboratory-related measurements. &nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

singletonpa/2019-winter-transportation-survey: Updated release of MPC-559 with analysis results

<p>This is an updated release of the MPC-559 &quot;Investigating travel behavior and air quality in Northern Utah&quot; (2019-winter-transportation-survey) research project. It contains additional data, scripts, and results associated with the analysis of travel behavior and activity participation outcomes.</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

SNN-NLN October 2023 Experiment Results

<p>Trial result files for HERA simulation, LOFAR and Tabascal simulation RFI detection experiments.</p><p>These result files are published for complete result transparency and not necessarily re-use.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Some results on self-complementary linear codes

<p>We present classification results for self-complementary codes with maximum possible minimum distance and length up to 20. Each directory contains information files for codes with the given length e.g. the file "9_3_4.2_m_m" gives information for binary linear self-complementary [9,3,4] codes. Each file gives generator matrices and weight distribution of each code.&nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Soil study results at Vallon de Nant : Soil moisture and soil temperature time series and granulometry results

<p>Dataset:</p><ul><li><a href="https://zenodo.org/api/records/10136586/draft/files/Particule_size_distribution.csv/content">Particule_size_distribution.csv :&nbsp;</a><br>Particle size distribution obtained for 34 samples in Vallon de Nant. Please refer to the pdf report for technical information.<br>Columns description :&nbsp;<br>point,depth= identification of the point. Please refer to the pdf notice<br>size (in micrometers) : Particle size ranging from 0.003mum to 2 mm<br>value (in %) : &nbsp;Fraction of the material volume corresponding to the size<br>USDAclass : Soil class according to the USDA classification for each sample<br>&nbsp;</li><li><a href="https://zenodo.org/api/records/10136586/draft/files/measure_T_HU_5TM_3stations.csv/content">measure_T_HU_5TM_3stations.csv :</a><br>Hourly soil moisture and soil temperature measurements at 3 points and different depths in the catchment. &nbsp;Please refer to the pdf report for technical information.<br>Columns description :&nbsp;<br>Time,Hour : recording time stamp<br>portX_HU : Soil moisture recorded at the X slot. Please refer to the notice for sensor depth.<br>portX_T : Soil temperature recorded at the X slot.<br>Station : Name of the measurement point (Auberge, Chalet or LaChaux). Auberge and LaChaux are at the exact same location than the corresponding weather stations. Chalet point is on the left bank on the river, near little bridge. Please refer to the pdf notice.</li></ul>

opencc-by-4.0Nov 2023View details →
zenodo40/100

CLaMS results used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT

<p>Results of the Chemical Lagrangian Model of the Stratosphere (CLaMS) used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT. Days of results: 2011-01-01, 2011-04-01, 2011-07-01, 2011-10-01 and 2019-09-23. Included trace gases: SF6, CFC-11, CFC-12, HCFC-22, N2O and CH4. The results also include the clock tracer BA, which can be converted into the precise mean age of or air of the model environment with the attached python script 'AOA2age_years.py'.</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

CAIRT FL2S Results of Case Study Scenario 10 (CSS10) for Asian Summer Monsoon

<p>Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

CAIRT FL2S Results of Case Study Scenario 4 (CSS4) for Volcanic Eruption

<p>Results of the fast level-2 simulator (FL2S) of CAIRT developed within the Earth Explorer 11 Phase 0 Science and Requirements Consolidation Study (SciReC) – CAIRT. The files contain altitude-time cross-sections of atmospheric parameters along simulated CAIRT-orbits. The variable extensions denote the original field ('_ori'), the application of the averaging kernel ('_ak'), additional application of noise ('_aknoi'), application of systematic uncertainties ('_sys'), and application of all effects ('_aknoisys'). Further information is available from the authors.</p>

opencc-by-4.0Nov 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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