cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14226516
title: Fórmulas de Nutrição Parenteral disponíveis no Brasil (v1 - Novembro de 2024)

description: O dataset contém 37 registros. Aqui está a descrição corrigida:



 

Descrição:

Este dataset documenta as características técnicas de diferentes soluções nutricionais parenterais disponíveis no Brasil em novembro de 2024. Ele contém especificações detalhadas de produtos, incluindo composição nutricional, parâmetros físico-químicos e propriedades relacionadas à administração clínica.

O dataset foi construído pela extração das bulas do fabricante, auxilada por chatbot (GPT 4.0).



Estrutura do Dataset:



Formato: Arquivo Excel

Aba Principal: "Planilha1"

Número de Colunas: 76

Número de Registros: 37




Variáveis Principais:



Nome: Nome do produto nutricional

Laboratório: Fabricante responsável pelo produto

Via: Método de administração (Central ou Periférica).

Bolsa (mL): Volume total do produto por bolsa.

Calorias: Valor calórico total fornecido pelo produto.

Calorias Não Proteicas: Energia derivada de componentes não proteicos.

Densidade Calórica: Calorias por mL do produto.

pH: Medida de acidez ou alcalinidade.

Osmolaridade (mosmol/L): Concentração osmótica do produto.

Osmolalidade (mosm/kg de água): Concentração osmótica ajustada à massa de água.

Eletrólitos

Nitrogenio e aminoacidograma

Sais minerais

Macronutrientes: Glicose monoidratada, Glicose anidra, Gordura (com especificação do tipo de emulsão, e.g., soja, óleo de peixe, óleo de oliva).

Excipientes: Detalhes dos excipientes como fosfolipídios de ovo, glicerol, entre outros.


Informações Clínicas:



Tipo de Emulsão Lipídica: Exemplo: Soja.

Componentes Secundários: Quantidades de triglicerídeos de cadeia média (TCM), óleos, entre outros.




Aplicações do Dataset:



Pesquisas Clínicas: Avaliação de eficácia e segurança de soluções parenterais.

Modelagem e Simulação: Criação de modelos de suporte nutricional baseados na composição.

Ensino e Treinamento: Uso em treinamentos sobre terapia nutricional.

Comparação de Produtos: Benchmarking entre diferentes marcas e formulações.




Observações:



O dataset contém 37 registros únicos.

Todas as células estão preenchidas com valores numéricos ou descritivos para análise quantitativa e qualitativa.

Não há registros em branco.
DOI: 10.5281/zenodo.14226517
title: Fórmulas de Nutrição Parenteral disponíveis no Brasil (v1 - Novembro de 2024)

description: O dataset contém 37 registros. Aqui está a descrição corrigida:



 

Descrição:

Este dataset documenta as características técnicas de diferentes soluções nutricionais parenterais disponíveis no Brasil em novembro de 2024. Ele contém especificações detalhadas de produtos, incluindo composição nutricional, parâmetros físico-químicos e propriedades relacionadas à administração clínica.

O dataset foi construído pela extração das bulas do fabricante, auxilada por chatbot (GPT 4.0).



Estrutura do Dataset:



Formato: Arquivo Excel

Aba Principal: "Planilha1"

Número de Colunas: 76

Número de Registros: 37




Variáveis Principais:



Nome: Nome do produto nutricional

Laboratório: Fabricante responsável pelo produto

Via: Método de administração (Central ou Periférica).

Bolsa (mL): Volume total do produto por bolsa.

Calorias: Valor calórico total fornecido pelo produto.

Calorias Não Proteicas: Energia derivada de componentes não proteicos.

Densidade Calórica: Calorias por mL do produto.

pH: Medida de acidez ou alcalinidade.

Osmolaridade (mosmol/L): Concentração osmótica do produto.

Osmolalidade (mosm/kg de água): Concentração osmótica ajustada à massa de água.

Eletrólitos

Nitrogenio e aminoacidograma

Sais minerais

Macronutrientes: Glicose monoidratada, Glicose anidra, Gordura (com especificação do tipo de emulsão, e.g., soja, óleo de peixe, óleo de oliva).

Excipientes: Detalhes dos excipientes como fosfolipídios de ovo, glicerol, entre outros.


Informações Clínicas:



Tipo de Emulsão Lipídica: Exemplo: Soja.

Componentes Secundários: Quantidades de triglicerídeos de cadeia média (TCM), óleos, entre outros.




Aplicações do Dataset:



Pesquisas Clínicas: Avaliação de eficácia e segurança de soluções parenterais.

Modelagem e Simulação: Criação de modelos de suporte nutricional baseados na composição.

Ensino e Treinamento: Uso em treinamentos sobre terapia nutricional.

Comparação de Produtos: Benchmarking entre diferentes marcas e formulações.




Observações:



O dataset contém 37 registros únicos.

Todas as células estão preenchidas com valores numéricos ou descritivos para análise quantitativa e qualitativa.

Não há registros em branco.
DOI: 10.15468/dl.z5w84w
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Mammillaria plumosa F.A.C.Weber",
 "Year 2006-2024"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000774-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5phujj
title: Occurrence Download

description: A dataset containing 1813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Loddigesia mirabilis (Bourcier, 1847)"
 ]
}

 The dataset includes 1813 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000775-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n256nk
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)"
 ]
}

 The dataset includes 208 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000776-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ffmr8
title: CCDC 2247430: Experimental Crystal Structure Determination

description: Related Article: Ramaraju Korivi, Popuri Sureshbabu, Kumar Babu Busi, Sabyasachi Chakrabortty, Subramaniyan Mannathan|2024|Org.Chem.Front.|11|6184|doi:10.1039/D4QO01053A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2krp56
title: CCDC 2376248: Experimental Crystal Structure Determination

description: Related Article: Zhikai Qi, Ke Zhang, Xingxing Zhao, Nan Zhang, Shi-Li Li, Xian-Ming Zhang|2024|Chem.Commun.|60|12880|doi:10.1039/D4CC04300F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kslxw
title: CCDC 2377139: Experimental Crystal Structure Determination

description: Related Article: Karla-Alejandra López-Gastélum, Iván-Fernando Chávez-Urías, Luis E. López-González, Juventino J. García, Marcos Flores-Alamo, David Morales-Morales, Jordi R. Galindo, Rocío Sugich-Miranda, Felipe Medrano Valenzuela, Enrique F. Velázquez-Contreras, Fernando Rocha-Alonzo|2024|New J.Chem.|48|18569|doi:10.1039/D4NJ03659J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktlhh
title: CCDC 2378087: Experimental Crystal Structure Determination

description: Related Article: Fabio Meyer, Pim Puylaert, Daniel Duvinage, Emanuel Hupf, Jens Beckmann|2024|Chem.Commun.|60|12912|doi:10.1039/D4CC04296D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktljj
title: CCDC 2378088: Experimental Crystal Structure Determination

description: Related Article: Fabio Meyer, Pim Puylaert, Daniel Duvinage, Emanuel Hupf, Jens Beckmann|2024|Chem.Commun.|60|12912|doi:10.1039/D4CC04296D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktlkk
title: CCDC 2378089: Experimental Crystal Structure Determination

description: Related Article: Fabio Meyer, Pim Puylaert, Daniel Duvinage, Emanuel Hupf, Jens Beckmann|2024|Chem.Commun.|60|12912|doi:10.1039/D4CC04296D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktlll
title: CCDC 2378090: Experimental Crystal Structure Determination

description: Related Article: Fabio Meyer, Pim Puylaert, Daniel Duvinage, Emanuel Hupf, Jens Beckmann|2024|Chem.Commun.|60|12912|doi:10.1039/D4CC04296D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ktlmm
title: CCDC 2378091: Experimental Crystal Structure Determination

description: Related Article: Fabio Meyer, Pim Puylaert, Daniel Duvinage, Emanuel Hupf, Jens Beckmann|2024|Chem.Commun.|60|12912|doi:10.1039/D4CC04296D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkg0m
title: CCDC 2370260: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkg1n
title: CCDC 2370261: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkfyj
title: CCDC 2370258: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkfzk
title: CCDC 2370259: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkfwg
title: CCDC 2370256: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkfxh
title: CCDC 2370257: Experimental Crystal Structure Determination

description: Related Article: Ksenia S. Smirnova, Elizaveta A. Sanzhenakova, Ilia V. Eltsov, Ivan P. Pozdnyakov, Alena A. Russkikh, Victor V. Dotsenko, Elizaveta V. Lider|2024|New J.Chem.|48|18536|doi:10.1039/D4NJ03444A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/10023582
title: US counties COVID 19 dataset
DOI: 10.15468/dl.vb5mn6
title: Occurrence Download

description: A dataset containing 68408 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON(((149.110193203073 -35.2659361099997,149.109846441075 -35.2662394571989,149.110242740502 -35.2708299728342,149.109970284646 -35.2711939673488,149.111010570641 -35.2793429718544,149.108533699223 -35.2827802712993,149.114131428628 -35.28587371605,149.115246020767 -35.2863387334734,149.115320326909 -35.288138123557,149.116905524617 -35.2882998645269,149.117171788294 -35.2866470587708,149.118726025109 -35.2865055325506,149.120651792637 -35.2856513154685,149.12200168756 -35.2852267308439,149.122311296487 -35.2844281013505,149.125741763401 -35.2830228986882,149.125085392476 -35.281860302512,149.127203117538 -35.2793429718544,149.127871872821 -35.2792823123188,149.128738777817 -35.2793733016052,149.129364187851 -35.2758701402838,149.124942972369 -35.2753848419177,149.121537274169 -35.2735295598995,149.118143960326 -35.2728218116925,149.113685591773 -35.2708603057729,149.111307795211 -35.2672202720369,149.110193203073 -35.2659361099997)))"
 ]
}

 The dataset includes 68408 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jatyb
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.48952 20.14259,-103.16263 20.14259,-103.16263 20.34519,-103.48952 20.34519,-103.48952 20.14259))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kinosternon integrum Le Conte, 1854"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10800537
title: Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review

description: Supplementary files for the paper entitled Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review. The files available are:

 



For the systematic literature review:



slr_studies.csv: the list of retrieved studies and their classification in the review.

slr_studies_analysis.pdf: the description of the selected studies and the technique it presents.

slr_studies_search_strings.txt: the queries used in each database.

slr_snowballing_backward.csv: the list of retrieved studies from backward snowballing and their classification in the review.

slr_snowballing_forward.csv: the list of retrieved studies from forward snowballing and their classification in the review.



For the gray literature review:



glr_privacy_policies.csv: the list of retrieved privacy policies and their classification in the review.

glr_privacy_policies_analysis.pdf: the description of the selected policies and their transcripts answering each research question.

glr_privacy_policies_search_code: Python code equivalent to the SerpAPI search.

privacy_policies.zip: archives of privacy policies evaluated in the review



For the survey:



survey_questions.pdf: archive of the Google Form of the survey

survey_responses.csv: responses received by the form
DOI: 10.5281/zenodo.10800538
title: Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review

description: Supplementary files for the paper entitled Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review. The files available are:

 



For the systematic literature review:



slr_studies.csv: the list of retrieved studies and their classification in the review.

slr_studies_analysis.pdf: the description of the selected studies and the technique it presents.

slr_studies_search_strings.txt: the queries used in each database.



For the gray literature review:



glr_privacy_policies.csv: the list of retrieved privacy policies and their classification in the review.

glr_privacy_policies_analysis.pdf: the description of the selected policies and their transcripts answering each research question.

glr_privacy_policies_search_code: Python code equivalent to the SerpAPI search.
DOI: 10.5281/zenodo.14226551
title: Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review

description: Supplementary files for the paper entitled Privacy Requirements for Chatbot Conversation-Driven Development: A Systematic Review. The files available are:

 



For the systematic literature review:



slr_studies.csv: the list of retrieved studies and their classification in the review.

slr_studies_analysis.pdf: the description of the selected studies and the technique it presents.

slr_studies_search_strings.txt: the queries used in each database.

slr_snowballing_backward.csv: the list of retrieved studies from backward snowballing and their classification in the review.

slr_snowballing_forward.csv: the list of retrieved studies from forward snowballing and their classification in the review.



For the gray literature review:



glr_privacy_policies.csv: the list of retrieved privacy policies and their classification in the review.

glr_privacy_policies_analysis.pdf: the description of the selected policies and their transcripts answering each research question.

glr_privacy_policies_search_code: Python code equivalent to the SerpAPI search.

privacy_policies.zip: archives of privacy policies evaluated in the review



For the survey:



survey_questions.pdf: archive of the Google Form of the survey

survey_responses.csv: responses received by the form
DOI: 10.15468/dl.56ub3e
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.48242 20.13623,-103.16838 20.13623,-103.16838 20.34678,-103.48242 20.34678,-103.48242 20.13623))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kinosternon hirtipes (Wagler, 1830)"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000781-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dpdyp
title: Occurrence Download

description: A dataset containing 69379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasGeospatialIssue is false",
 "TaxonKey is Lauraceae"
 ]
}

 The dataset includes 69379 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000780-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive158574.20240916.9.1
title: Paenibacillus albidus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158575.20240916.9.1
title: Ponticoccus marisrubri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158576.20240916.9.1
title: Porphyrobacter algicida

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158578.20241212.9.2
title: Melaminivora jejuensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158580.20240510.9
title: Phenylobacterium hankyongense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive158581.20240916.9.1
title: Sphingomonas colocasiae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.