cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6395454
title: Bosnia and Herzegovina 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. The chemical monitoring data collected and published by EFSA include the analytical results provided by EU Member States, Iceland, Norway and three pre-accession countries: Bosnia-Herzegovina, Montenegro and North Macedonia. 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 - Food Safety Agency of Bosnia and Herzegovina MOPER_2019 - Food Safety Agency of Bosnia and Herzegovina MOPER_2018 - Food Safety Agency of Bosnia and Herzegovina MOPER_2017 - Food Safety Agency of Bosnia and Herzegovina <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: BA; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7864692
title: Bosnia and Herzegovina 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. The chemical monitoring data collected and published by EFSA include the analytical results provided by EU Member States, Iceland, Norway and three pre-accession countries: Bosnia-Herzegovina, Montenegro and North Macedonia. 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_2021 - Food Safety Agency of Bosnia and Herzegovina MOPER_2020 - Food Safety Agency of Bosnia and Herzegovina MOPER_2019 - Food Safety Agency of Bosnia and Herzegovina MOPER_2018 - Food Safety Agency of Bosnia and Herzegovina MOPER_2017 - Food Safety Agency of Bosnia and Herzegovina <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: BA; CSV; data.collection@efsa.europa.eu
DOI: 10.15468/dl.dcne3y
title: Occurrence Download

description: A dataset containing 2284835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trochalopteron henrici Oustalet, 1892, Trochalopteron imbricatum (Blyth, 1843), Trochalopteron lineatum (Vigors, 1831), Trochalopteron melanostigma (Blyth, 1855), Trochalopteron milnei David, 1874, Trochalopteron morrisonianum Ogilvie-Grant, 1906, Trochalopteron squamatum (Gould, 1835), Trochalopteron subunicolor Blyth, 1843, Locustella amnicola Stepanyan, 1972, Locustella certhiola (Pallas, 1811), Helopsaltes fasciolatus (G.R.Gray, 1861), Locustella ochotensis (Middendorff, 1853), Locustella pleskei Taczanowski, 1890, Locustella pryeri (Seebohm, 1884), Locustella alishanensis (Rasmussen, Round, Dickinson & Rozendaal, 2000), Locustella chengi Alström, Xia, Rasmussen, Olsson, Dai B, Zhao J, Leader, Carey, Dong L, Cai T, P.I.Holt, Hung Le Manh, Song G, Liu Y, Zhang Y & Lei F, 2015, Locustella davidi (La Touche, 1923), Locustella lanceolata (Temminck, 1840), Locustella luscinioides (Savi, 1824), Locustella luteoventris (Hodgson, 1845), Locustella major (W.E.Brooks, 1871), Locustella mandelli (W.E.Brooks, 1875), Locustella naevia (Boddaert, 1783), Locustella tacsanowskia Swinhoe, 1871, Locustella thoracica (Blyth, 1845), Megalurus palustris Horsfield, 1821, Hypothymis azurea (Boddaert, 1783), Terpsiphone paradisi (Linnaeus, 1758), Terpsiphone atrocaudata (Eyton, 1839), Terpsiphone paradisi (Linnaeus, 1758), Terpsiphone paradisi (Linnaeus, 1758), Anthus campestris (Linnaeus, 1758), Anthus cervinus (Pallas, 1811), Anthus godlewskii (Taczanowski, 1876), Anthus gustavi Swinhoe, 1863, Anthus hodgsoni Richmond, 1907, Anthus pratensis (Linnaeus, 1758), Anthus richardi Vieillot, 1818, Anthus roseatus Blyth, 1847, Anthus rubescens (Tunstall, 1771), Anthus rufulus Vieillot, 1818, Anthus spinoletta (Linnaeus, 1758), Anthus sylvanus (Hodgson, 1845), Anthus trivialis (Linnaeus, 1758), Dendronanthus indicus (Gmelin, 1789), Motacilla alba Linnaeus, 1758, Motacilla cinerea Tunstall, 1771, Motacilla citreola Pallas, 1776, Motacilla flava Linnaeus, 1758, Motacilla grandis Sharpe, 1885, Motacilla tschutschensis Gmelin, 1789, Anthipes monileger (Hodgson, 1845), Brachypteryx montana Horsfield, 1821, Brachypteryx goodfellowi Ogilvie-Grant, 1912, Brachypteryx hyperythra Blyth, 1861, Brachypteryx leucophris (Temminck, 1828), Brachypteryx sinensis Rickett, 1897, Luscinia calliope (Pallas, 1776), Luscinia obscura (Berezowski & Bianchi, 1891))",
 "Geometry POLYGON((73.4990129 3.8378886,135.0873769 3.8378886,135.0873769 53.5616571,73.4990129 53.5616571,73.4990129 3.8378886))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 2284835 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030428-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60629/cncr-sj15
title: Dataset used in the publication: "Kim jest Warta?"
title: Dane badawcze do publikacji &#34;Kim jest Warta?&#34;

description: <p>This file contains the list of references and dataset related to the chapter &#34;Kim jest Warta? Rzeka-osoba i inne hydrowizje na przestrzeni XIX-XXI wieku&#34; (in: Tobiasz Jankowiak, Mateusz Kiszka, Aleksandra Polerowicz (eds.), Wobec wody. 7. Wielkopolski Festiwal Fotografii im. Ireneusza Zjeżdżałki, Wojewódzka Biblioteka Publiczna i Centrum Animacji Kultury w Poznaniu, Poznań 2024).</p><p> </p><p><br /></p><p><br /></p><p><br /></p>
description: <p class="MsoNormal">Plik zawiera wykaz literatury oraz zestaw danych
wykorzystanych w publikacji „Kim jest Warta? Rzeka-osoba i inne hydrowizje na
przestrzeni XIX-XXI wieku” (w: Tobiasz Jankowiak, Mateusz Kiszka, Aleksandra
Polerowicz (red.), Wobec wody. 7. Wielkopolski Festiwal Fotografii im.
Ireneusza Zjeżdżałki, Wojewódzka Biblioteka Publiczna i Centrum Animacji
Kultury w Poznaniu, Poznań 2024)</p>

<p><br /></p>
DOI: 10.5281/zenodo.15384568
title: Dataset: Coalescence of viscoelastic drops on a solid substrate

description: This dataset contains the raw and processed data associated with the manuscript entitled 'Coalescence of viscoelastic drops on a solid substrate', which has recently been accepted for publication in Physical Review Fluids. The study investigates the coalescence of polymer solution drops on solid substrates, as well as their dynamics. The study demonstrates that the coalescence exponent depends on the elastocapillary number, which is the ratio of the polymer relaxation time to the viscous timescale.

The dataset includes:





Experimental data files supporting the figures and tables in the paper.




A README file describing the file structure, experimental conditions, variable definitions, and how to reproduce the key results.



This data is made available to ensure the transparency and reproducibility of the results presented in the article.

Citation:If you use this dataset, cite the associated article and this Zenodo record (CC-BY-4.0). 

The datasets are compressed; the original datasets are available upon reasonable request.

Emails: 

Auernhammer@ipfdd.de

Rostami@ipfdd.de
DOI: 10.5281/zenodo.15384569
title: Dataset: Coalescence of viscoelastic drops on a solid substrate

description: This dataset contains the raw and processed data associated with the manuscript entitled 'Coalescence of viscoelastic drops on a solid substrate', which has recently been accepted for publication in Physical Review Fluids. The study investigates the coalescence of polymer solution drops on solid substrates, as well as their dynamics. The study demonstrates that the coalescence exponent depends on the elastocapillary number, which is the ratio of the polymer relaxation time to the viscous timescale.

The dataset includes:





Experimental data files supporting the figures and tables in the paper.




A README file describing the file structure, experimental conditions, variable definitions, and how to reproduce the key results.



This data is made available to ensure the transparency and reproducibility of the results presented in the article.

Citation:If you use this dataset, cite the associated article and this Zenodo record (CC-BY-4.0). 

The datasets are compressed; the original datasets are available upon reasonable request.

Emails: 

Auernhammer@ipfdd.de

Rostami@ipfdd.de
DOI: 10.15468/dl.yvyjx8
title: Occurrence Download

description: A dataset containing 5887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 5887 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030472-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15397666
title: Sieviešu režisoru izteiksmes līdzekļi kinohronikā "Padomju Latvija" (Means of Expression of Female Directors in the Newsreel "Soviet Latvia")

description: LATVISKI

Šis pētījums tika veikts Rīgas Stradiņa universitātes bakalaura darbam. Tas fokusējas uz sieviešu režisoru izteiksmes līdzekļiem un to attēlojumu kinožurnālā ''Padomju Latvija''. Pētījumā tiek veikta kvantitatīvā kontentanalīze, lai identificētu un analizētu sieviešu režisoru izmantotos izteiksmes līdzekļus, kā arī viņu ieguldījumu Padomju Latvijas filmu industrijā.

Datu kodēšanas procesā tika izstrādāta kodēšanas shēma, kurā katrs kinožurnāla sižeta elements tika piesaistīts noteiktām kategorijām un vērtībām - analīzes vienībām, pamatojoties uz konkrētiem izteiksmes līdzekeļiem, kas pētījumā izvēlēti. Dati kodēti "IBM SPSS" programmā. 

Tika izvēlētas 4 sieviešu režisores - Irina Masa, Laima Žurgina, Ada Neretniece un Biruta Veldre. Kurām kopā tika kodēti 50 kinožurnāla numuri jeb 315 sižeti.

Kategorijas ir izstrādātas, lai identificētu galvenos izteiksmes līdzekļus - skaņas, kameras leņķi, montāžu, kadrējumu, kadru plānu skaitu, inscenēšanas pazīmes un vizuālos specefektus. Katrs filmas elements tika kodēts un ievadīts datubāzē, lai veiktu statistisko analīzi.

Šie dati ir Rīgas Stradiņa universitātes 3. kursa multimediju komunikācijas studentes Karmenas Zonbergas veidoti.



 



ENGLISH

This research was conducted for the bachelor's thesis at Riga Stradins University. It focuses on the means of expression of female directors and their representation in the film magazine ''Soviet Latvia''. The study uses quantitative content analysis to identify and analyze the means of expression used by female directors, as well as their contribution to the Soviet Latvian film industry.



During the data coding process, a coding scheme was developed in which each element of the film magazine plot was linked to certain categories and values - units of analysis, based on specific means of expression selected in the study. Data were coded in the IBM SPSS program.

4 female directors were selected - Irina Masa, Laima Žurgina, Ada Neretniece and Biruta Veldre. A total of 50 film magazine issues or 315 plots were coded for them.

The categories were developed to identify the main means of expression - sound, camera angle, editing, framing, number of shots, staging features and visual special effects. Each element of the film was coded and entered into a database for statistical analysis.

This data was created by Karmena Zonberga, a 3rd year multimedia communication student at Riga Stradiņš University.
DOI: 10.5281/zenodo.15397667
title: Sieviešu režisoru izteiksmes līdzekļi kinohronikā "Padomju Latvija" (Means of Expression of Female Directors in the Newsreel "Soviet Latvia")

description: LATVISKI

Šis pētījums tika veikts Rīgas Stradiņa universitātes bakalaura darbam. Tas fokusējas uz sieviešu režisoru izteiksmes līdzekļiem un to attēlojumu kinožurnālā ''Padomju Latvija''. Pētījumā tiek veikta kvantitatīvā kontentanalīze, lai identificētu un analizētu sieviešu režisoru izmantotos izteiksmes līdzekļus, kā arī viņu ieguldījumu Padomju Latvijas filmu industrijā.

Datu kodēšanas procesā tika izstrādāta kodēšanas shēma, kurā katrs kinožurnāla sižeta elements tika piesaistīts noteiktām kategorijām un vērtībām - analīzes vienībām, pamatojoties uz konkrētiem izteiksmes līdzekeļiem, kas pētījumā izvēlēti. Dati kodēti "IBM SPSS" programmā. 

Tika izvēlētas 4 sieviešu režisores - Irina Masa, Laima Žurgina, Ada Neretniece un Biruta Veldre. Kurām kopā tika kodēti 50 kinožurnāla numuri jeb 315 sižeti.

Kategorijas ir izstrādātas, lai identificētu galvenos izteiksmes līdzekļus - skaņas, kameras leņķi, montāžu, kadrējumu, kadru plānu skaitu, inscenēšanas pazīmes un vizuālos specefektus. Katrs filmas elements tika kodēts un ievadīts datubāzē, lai veiktu statistisko analīzi.

Šie dati ir Rīgas Stradiņa universitātes 3. kursa multimediju komunikācijas studentes Karmenas Zonbergas veidoti.



 



ENGLISH

This research was conducted for the bachelor's thesis at Riga Stradins University. It focuses on the means of expression of female directors and their representation in the film magazine ''Soviet Latvia''. The study uses quantitative content analysis to identify and analyze the means of expression used by female directors, as well as their contribution to the Soviet Latvian film industry.



During the data coding process, a coding scheme was developed in which each element of the film magazine plot was linked to certain categories and values - units of analysis, based on specific means of expression selected in the study. Data were coded in the IBM SPSS program.

4 female directors were selected - Irina Masa, Laima Žurgina, Ada Neretniece and Biruta Veldre. A total of 50 film magazine issues or 315 plots were coded for them.

The categories were developed to identify the main means of expression - sound, camera angle, editing, framing, number of shots, staging features and visual special effects. Each element of the film was coded and entered into a database for statistical analysis.

This data was created by Karmena Zonberga, a 3rd year multimedia communication student at Riga Stradiņš University.
DOI: 10.5281/zenodo.1322617
title: Bulgarian 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.2587545
title: Bulgarian 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