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

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eutrema salsugineum (Pall.) Al-Shehbaz & S.I.Warwick",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030683-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/qt7k-6r09.72
title: Swedish Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - April 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.gb4r8x
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brownea stenantha Britton & Killip"
 ]
}

 The dataset includes 404 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030685-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xhpzw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megacarpaea megalocarpa (Fisch. ex DC.) Schischk. ex B.Fedtsch.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030688-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73dddf
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachycephalus coriaceus (Peters, 1867)"
 ]
}

 The dataset includes 132 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030684-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399375
title: LLM Benchmarking

description: data.zip: All the questions that used in the expirements saved for reproducibility reasons

rephrased_data.zip: All the rephrased questions that used in the expirements saved for reproducibility reasons

results.zip: Contains all LLMs answers on exact/original questions

rephrased_results.zip: Contains all LLMs answers on rephrased questions

csv.zip: Tables for descriptive statistics score (mean, stdev) for 4 datasets on all models

output_plots.zip: Performance shifts plots

beta_binomial.zip: Bayesian results for kappa, mu, gamma, svg images

codebase.zip: All the source code for download, preprocess data, call the LLMs, create the results, run the Bayesian framework and create the plots. All are described in detail inside the README files.
DOI: 10.5281/zenodo.15399376
title: LLM Benchmarking

description: data.zip: All the questions that used in the expirements saved for reproducibility reasons

rephrased_data.zip: All the rephrased questions that used in the expirements saved for reproducibility reasons

results.zip: Contains all LLMs answers on exact/original questions

rephrased_results.zip: Contains all LLMs answers on rephrased questions

csv.zip: Tables for descriptive statistics score (mean, stdev) for 4 datasets on all models

output_plots.zip: Performance shifts plots

beta_binomial.zip: Bayesian results for kappa, mu, gamma, svg images

codebase.zip: All the source code for download, preprocess data, call the LLMs, create the results, run the Bayesian framework and create the plots. All are described in detail inside the README files.
DOI: 10.57967/hf/5426
title: all-document-text-data
DOI: 10.5281/zenodo.1323526
title: Icelandic Results From The Monitoring Of Pesticide Residues In Food

description: 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 “maximum residue levels” or briefly “MRLs”, 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.

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.

If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample  with quantified residue levels within the legal limits (below or at the MRL)

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.
description: data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.2587862
title: Icelandic results from the monitoring of pesticide residues in food

description: 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 “maximum residue levels” or briefly “MRLs”, 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. 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. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) 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.
description: data.collection@efsa.europa.eu We are seeking feedback on our open data please complete the survey at the link below https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14
DOI: 10.5281/zenodo.3260741
title: Icelandic results from the monitoring of pesticide residues in food

description: 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 “maximum residue levels” or briefly “MRLs”, 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. 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. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) 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. <strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong> MOPER_2016 – Icelandic Food and Veterinary Authority MOPER_2017 – Icelandic Food and Veterinary Authority <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>
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.3785020
title: Icelandic results from the monitoring of pesticide residues in food

description: 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 “maximum residue levels” or briefly “MRLs”, 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. 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. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) 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. <strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong> MOPER_2018 - Icelandic Food and Veterinary Authority MOPER_2017 - Icelandic Food and Veterinary Authority MOPER_2016 - Icelandic Food and Veterinary Authority MOPER_2015 - Icelandic Food and Veterinary Authority MOPER_2014 - Icelandic Food and Veterinary Authority MOPER_2013 - Icelandic Food and Veterinary Authority MOPER_2012 - Icelandic Food and Veterinary Authority MOPER_2011 - Icelandic Food and Veterinary Authority <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>
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.5021746
title: Icelandic results from the monitoring of pesticide residues in food

description: 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 “maximum residue levels” or briefly “MRLs”, 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. 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. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) 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. <strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong> MOPER_2019 - Icelandic Food and Veterinary Authority MOPER_2018 - Icelandic Food and Veterinary Authority MOPER_2017 - Icelandic Food and Veterinary Authority MOPER_2016 - Icelandic Food and Veterinary Authority MOPER_2015 - Icelandic Food and Veterinary Authority MOPER_2014 - Icelandic Food and Veterinary Authority MOPER_2013 - Icelandic Food and Veterinary Authority MOPER_2012 - Icelandic Food and Veterinary Authority MOPER_2011 - Icelandic Food and Veterinary Authority <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>
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.6395727
title: Icelandic results from the monitoring of pesticide residues in food

description: 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 “maximum residue levels” or briefly “MRLs”, 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. 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. If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) 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. <strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong> MOPER_2020 - Icelandic Food and Veterinary Authority MOPER_2019 - Icelandic Food and Veterinary Authority MOPER_2018 - Icelandic Food and Veterinary Authority MOPER_2017 - Icelandic Food and Veterinary Authority MOPER_2016 - Icelandic Food and Veterinary Authority MOPER_2015 - Icelandic Food and Veterinary Authority MOPER_2014 - Icelandic Food and Veterinary Authority MOPER_2013 - Icelandic Food and Veterinary Authority MOPER_2012 - Icelandic Food and Veterinary Authority MOPER_2011 - Icelandic Food and Veterinary Authority <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>
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.15468/dl.26eyru
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crambe kotschyana Boiss.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030689-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zxnzy
title: Occurrence Download

description: A dataset containing 1343 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oithona frigida Giesbrecht, 1902"
 ]
}

 The dataset includes 1343 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030690-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.