cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5142786
title: Main areas of research and scientific production regionalized by Policosanol biorefining route: from the 1990s to the 2024 (June).

description: The Table 1 presents the results of surveys, in 18 Ibero-American countries and in the world, carried out in the Science Citation Index Expanded (SCI-E) or Web of Science - Core Collection - Clarivate Analytics – (WoS) and Scopus (Elsevier): AR - Argentina, BR - Brazil, CL - Chile, CO - Colombia, CR - Cota Rica, CU - Cuba, DO - Dominican Republic, EC - Ecuador, ES - Spain, GT - Guatemala, HN - Honduras, MX - Mexico, NI - Nicaragua, PA - Panama, PE - Peru, PT - Portugal, SV - El Salvador, UY - Uruguay. 

 

Merging the Scopus and Web of Science bases, the scientometric methodology of K-Synth (Bibliometrix) is applied here, according to which the scientific production of each country is measured by the number of appearances of authors by country affiliations. Thus, if in an article there are, for example, three authors working, respectively, in Brazil, Spain and the USA, the appearance counter will be increased by 1 for each of them. Due to the identification of some gaps, the electronically merged data were reconciled with the original databases.

 

As for the Main Subject Areas, the classification adopted is that of Scopus Elsevier, as well as the compiled data, as it is the most quantitatively complete basis for this research. 

 

Data is updated until June 2024.
description: Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001: Process: 88887.465369/2019-00 (Capes) - Date: 01/10/2019 to 30/09/2023. In other part, this study was financed by Institutional Internationalization Program – CAPES – PrInt: Process: 88887.468908/2019-00 (Call no. 41/2017); Date: 01/02/2020 to 31/12/2020. This work was conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spain.

 

Acknowledgment To Questel, for the kind permission to use and free training of the Orbit®. To Dr. D. Kouloukoui for technical advice. To Prof. H. Suzuki, for generously sharing information on patent prospecting. To Dr. Jesús Martín-Gil of Department of Agricultural and Forestry Engineering, University of Valladolid (UVA), for the guidelines during the Institutional Sandwich Doctorate Program Abroad (PDSE).
description: To access this report, simply request it via email rilton@ufba.br or riltonprimo@hotmail.com, if you meet any of the conditions described below:

 

1)      Reviewer/Revisor/Editor of Scientific Journal.

2)      Member of the research group on biorefineries (UFSB, UFBA, IFBA-Profnit, ICIDCA or CNIC);

3)      Member of the TECLIM research group (UFBA).
DOI: 10.5281/zenodo.5142787
title: Policosanol Yield by Material Sources and Extraction Methods

description: Policosannol Yield, by Material Sources and Extraction Methods: systematic review of literature.
description: Work conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spanish. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.
DOI: 10.5281/zenodo.5150922
title: Policosanol Yield by Material Sources and Extraction Methods

description: Policosannol Yield, by Material Sources and Extraction Methods: systematic review of literature.
description: Work conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spanish. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.
DOI: 10.5281/zenodo.5152328
title: Policosanol Yield by Material Sources and Extraction Methods

description: Policosannol Yield, by Material Sources and Extraction Methods: systematic review of literature.
description: Work conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spanish. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.
DOI: 10.5281/zenodo.5153677
title: Main articles on policosanol yield by material sources and extraction methods.

description: Main articles on policosannol yield, by material sources and extraction methods (saponification, transesterification, solvent extraction, supercritical CO<sub>2</sub> extraction and ultrasonic extraction). Work conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spanish.
description: Acknowledgment: To the University of Valladolid for receiving us, support and training. To MsC D. Kouloukoui, MsC F. Santos, MsC D. Silva and Me. S. Talabante for technical advice. Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001.
DOI: 10.15468/dl.77syfm
title: Occurrence Download

description: A dataset containing 7543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.66276161053685",
 "DecimalLongitude is less than 8.66582116372124",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 7543 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025053-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwa7hm
title: Occurrence Download

description: A dataset containing 5162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.66582116372124",
 "DecimalLongitude is less than 8.66888071690563",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 5162 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025054-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuz8c2
title: Occurrence Download

description: A dataset containing 9660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.66888071690563",
 "DecimalLongitude is less than 8.67194027009003",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 9660 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025055-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbnv2j
title: Occurrence Download

description: A dataset containing 5704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.67194027009003",
 "DecimalLongitude is less than 8.67499982327442",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 5704 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025056-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/ep884-g0v97
title: A synthetic protein-level neural network in mammalian cells

description: 测试版本2.0
DOI: 10.15468/dl.ykyawy
title: Occurrence Download

description: A dataset containing 5071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.67499982327442",
 "DecimalLongitude is less than 8.67805937645882",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 5071 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025057-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7942371
title: Databases of Patent Prospection of "Cross Meta-Analysis on Policosanol Extraction": CSV documents

description: These eight database derives from the processes of patent prospection (mode FullPat) on Policosanol Extraction routes by Advanced Search and IP Business Intelligence of Orbit seekers (version 1.9.8), in CSV format to be used with software suitable for replicating the results, new statistical, semantic and other treatments:


Policosanol Extraction 1 - PC.csv 
md5:28570b475b35de6c65731d46a281a1cf 13.6 Mb

Policosanol Extraction 2 - Main Six Routes.csv 
md5:6b353e6f7520143fe3b871adb73fc0a1 13 Mb

Policosanol Extraction 3 - Saponification.csv 
md5:7df07dc0f7972daee164bd11e8ec73b4 2.6 Mb

Policosanol Extraction 4 - Solvent.csv 
md5:234d24518517d0dcba2fbdbe32a347f9 25.9 Mb

Policosanol Extraction 5 - Molecular distillation. ...
md5:fd92dc4172aee67dc998cd93f20b5f37 433 Kb

Policosanol Extraction 6 - Transesterification.csv 
md5:9d872ba0f16372d4c5b6755b043789ea 178 Kb

Policosanol Extraction 7 - Supercritical.csv 
md5:223dae0b3b88f4fd01c7957ea8525874 21.5 Mb

Policosanol Extraction 8 - Ultrasonic.csv 
md5:45a64314dd8420ec955136515fe48192


These prospects through Orbit were updated in May 16, 2023, without presenting relevant changes. 


These elements are constitutive of the article entitled "Cross Meta-Analysis on Policosanol Extraction", by PRIMO, R. et al.
description: Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001: Process: 88887.465369/2019-00 (Capes) - Date: 01/10/2019 to 30/09/2023. In other part, this study was financed by Institutional Internationalization Program – CAPES – PrInt: Process: 88887.468908/2019-00 (Call no. 41/2017); Date: 01/02/2020 to 31/12/2020. This work was conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spain.

Acknowledgment To Questel, for the kind permission to use and free training of the Orbit®. To Dr. D. Kouloukoui for technical advice. To Prof. H. Suzuki, for generously sharing information on patent prospecting. To Dr. Jesús Martín-Gil of Department of Agricultural and Forestry Engineering, University of Valladolid (UVA), for the guidelines during the Institutional Sandwich Doctorate Program Abroad (PDSE).
description: To access this report, simply request it via email rilton@ufba.br or riltonprimo@hotmail.com, if you meet any of the conditions described below:

 

1)      Reviewer/Revisor/Editor of Scientific Journal.

2)      Member of the research group on biorefineries (UFSB, UFBA, IFBA-Profnit, ICIDCA or CNIC);

3)      Member of the TECLIM research group (UFBA).
DOI: 10.5281/zenodo.4147083
title: Databases of Patent Prospection of "Cross Meta-Analysis on Policosanol Extraction": CSV documents

description: These eight database derives from the processes of patent prospection (mode FullPat) on Policosanol Extraction routes by Advanced Search and IP Business Intelligence of Orbit seekers (version 1.9.8), in CSV format to be used with software suitable for replicating the results, new statistical, semantic and other treatments:


Policosanol Extraction 1 - PC.csv 
md5:28570b475b35de6c65731d46a281a1cf 13.6 Mb

Policosanol Extraction 2 - Main Six Routes.csv 
md5:6b353e6f7520143fe3b871adb73fc0a1 13 Mb

Policosanol Extraction 3 - Saponification.csv 
md5:7df07dc0f7972daee164bd11e8ec73b4 2.6 Mb

Policosanol Extraction 4 - Solvent.csv 
md5:234d24518517d0dcba2fbdbe32a347f9 25.9 Mb

Policosanol Extraction 5 - Molecular distillation. ...
md5:fd92dc4172aee67dc998cd93f20b5f37 433 Kb

Policosanol Extraction 6 - Transesterification.csv 
md5:9d872ba0f16372d4c5b6755b043789ea 178 Kb

Policosanol Extraction 7 - Supercritical.csv 
md5:223dae0b3b88f4fd01c7957ea8525874 21.5 Mb

Policosanol Extraction 8 - Ultrasonic.csv 
md5:45a64314dd8420ec955136515fe48192


These prospects through Orbit were updated in May 16, 2023, without presenting relevant changes. 


These elements are constitutive of the article entitled "Cross Meta-Analysis on Policosanol Extraction", by PRIMO, R. et al.
description: Funding: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (Capes) - Finance Code 001: Process: 88887.465369/2019-00 (Capes) - Date: 01/10/2019 to 30/09/2023. In other part, this study was financed by Institutional Internationalization Program – CAPES – PrInt: Process: 88887.468908/2019-00 (Call no. 41/2017); Date: 01/02/2020 to 31/12/2020. This work was conducted during a scholarship supported by the Institutional Sandwich Doctorate Program Abroad (PDSE) at the Federal University of Bahia (UFBA), Salvador, Brazil, and University of Valladolid (UVA), Palencia, Spain.

Acknowledgment To Questel, for the kind permission to use and free training of the Orbit®. To Dr. D. Kouloukoui for technical advice. To Prof. H. Suzuki, for generously sharing information on patent prospecting. To Dr. Jesús Martín-Gil of Department of Agricultural and Forestry Engineering, University of Valladolid (UVA), for the guidelines during the Institutional Sandwich Doctorate Program Abroad (PDSE).
description: To access this report, simply request it via email rilton@ufba.br or riltonprimo@hotmail.com, if you meet any of the conditions described below:

 

1)      Reviewer/Revisor/Editor of Scientific Journal.

2)      Member of the research group on biorefineries (UFSB, UFBA, IFBA-Profnit, ICIDCA or CNIC);

3)      Member of the TECLIM research group (UFBA).
DOI: 10.15468/dl.39ncpv
title: Occurrence Download

description: A dataset containing 6268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.67805937645882",
 "DecimalLongitude is less than 8.68111892964321",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 6268 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025058-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a32kfg
title: Occurrence Download

description: A dataset containing 2279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "IucnRedListCategory is one of (EN, CR, VU)",
 "TaxonKey is Amphibia",
 "Year 1981-2024"
 ]
}

 The dataset includes 2279 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025059-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtp4uv
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Alien Species in Poland - Animals"
 ]
}

 The dataset includes 171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025060-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd9y9b
title: Occurrence Download

description: A dataset containing 7044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.68111892964321",
 "DecimalLongitude is less than 8.68417848282761",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 7044 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025061-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13958023
title: Alcohol Use Disorders in Individuals with Borderline Personality Disorder: Systematic Review, Meta-Analysis, and Meta-Regression.

description: Description of the Dataset: This dataset supports a meta-analysis and meta-regression focused on the prevalence and comorbidity of Alcohol Dependence, Alcohol Abuse, and Alcohol Use Disorder (AUD) across different populations and regions. The analysis integrates data from multiple studies to explore patterns and relationships in these disorders.

Content: The dataset includes information from studies on Alcohol Dependence, Abuse, and AUD, with variables such as: Author and Year; Dependence, Alcohol Abuse, and AUD (Prevalence data for each of these disorders in the included studies); Sample Characteristics; Geographic Distribution and Assessment Criteria.

Methodology: The meta-analysis uses data from 15 studies, integrating results from both clinical and community samples, covering different continents including the America and Europe. Diagnostic criteria are based on widely accepted measures such as DSM-IV, ICD-10, and AUDIT. Meta-regression techniques were employed to examine the relationship between sample characteristics (e.g., age, gender distribution) and the prevalence of alcohol-related disorders.

Reproducibility: The dataset includes the prevalence data used for the meta-analysis (meta-análise.TPB.xlsx). Users are encouraged to replicate the analyses by following the methodology provided. The R script for running the meta-regression analyses is included in the attached file (Script for Meta-Analysis and Meta-Regression on Alcohol Abuse, Dependence, and Use Disorder.docx), allowing full reproducibility of the results.
DOI: 10.5281/zenodo.13958024
title: Alcohol Use Disorders in Individuals with Borderline Personality Disorder: Systematic Review, Meta-Analysis, and Meta-Regression.

description: Description of the Dataset: This dataset supports a meta-analysis and meta-regression focused on the prevalence and comorbidity of Alcohol Dependence, Alcohol Abuse, and Alcohol Use Disorder (AUD) across different populations and regions. The analysis integrates data from multiple studies to explore patterns and relationships in these disorders.

Content: The dataset includes information from studies on Alcohol Dependence, Abuse, and AUD, with variables such as: Author and Year; Dependence, Alcohol Abuse, and AUD (Prevalence data for each of these disorders in the included studies); Sample Characteristics; Geographic Distribution and Assessment Criteria.

Methodology: The meta-analysis uses data from 15 studies, integrating results from both clinical and community samples, covering different continents including the America and Europe. Diagnostic criteria are based on widely accepted measures such as DSM-IV, ICD-10, and AUDIT. Meta-regression techniques were employed to examine the relationship between sample characteristics (e.g., age, gender distribution) and the prevalence of alcohol-related disorders.

Reproducibility: The dataset includes the prevalence data used for the meta-analysis (meta-análise.TPB.xlsx). Users are encouraged to replicate the analyses by following the methodology provided. The R script for running the meta-regression analyses is included in the attached file (Script for Meta-Analysis and Meta-Regression on Alcohol Abuse, Dependence, and Use Disorder.docx), allowing full reproducibility of the results.
DOI: 10.15468/dl.be5c5y
title: Occurrence Download

description: A dataset containing 4200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.68417848282761",
 "DecimalLongitude is less than 8.687238036012",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 4200 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025062-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7pv34
title: Occurrence Download

description: A dataset containing 1589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "TaxonKey is Mammalia",
 "Year 1981-2024"
 ]
}

 The dataset includes 1589 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025064-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k54v6d
title: Occurrence Download

description: A dataset containing 4868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.687238036012",
 "DecimalLongitude is less than 8.6902975891964",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 4868 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025063-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.