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

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Herpetofauna del corredor biológico Chichinautzin y la Sierra de Huautla en el estado de Morelos, Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados), Anfibios y reptiles de la Sierra Montenegro-Las Trincheras y el cerro el Chumil, Morelos, Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), UWBM Herpetology Collection (Arctos), MSB Amphibian and Reptile Collection (Arctos), KUBI Herpetology Collection, Apoyo a las colecciones biológicas de la Facultad de Ciencias de la UNAM: Fase 1 (MZFC_HE), Apoyo a las colecciones biológicas de la Facultad de Ciencias de la UNAM: Fase 1 (Herpetológica))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 06fcbbf0-0562-11d8-b851-b8a03c50a862, 939ed180-aa7b-11db-8edf-b8a03c50a862, b554c320-0560-11d8-b851-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, d003dd60-94fa-11da-a99f-b8a03c50a862)",
 "TaxonKey is Sceloporus ochoterenae Smith, 1934",
 "Year 1950-2024"
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026942-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.23eof30s
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.15468/dl.ynzr59
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "DatasetKey is one of (Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), Actualización de la base de datos de la colección nacional de anfibios y reptiles (CNAR), UCM Amphibian and Reptile Collection (Arctos), Museum of Comparative Zoology, Harvard University, CAS Herpetology (HERP), Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), MVZ Herp Collection (Arctos))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, 4cadac10-3e7b-11d9-8439-b8a03c50a862, 66522820-055c-11d8-b84e-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862)",
 "TaxonKey is Sceloporus omiltemanus Günther, 1890",
 "Year 1950-2024"
 ]
}

 The dataset includes 246 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026943-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26314546
title: data set with SAS code for analyses that are reported in Table 1 of paper

description: This is the data set with SAS code that yielded the analyses in Table 1 of the paper.
DOI: 10.18430/m36f3p
title: X-ray diffraction data for the crystal structure of S-adenosyl-L-homocysteine hydrolase from Pseudomonas aeruginosa in complex with 3'-deoxyadenosine and K+ cation (6F3P)
DOI: 10.17632/ycynkzm8v8.1
title: Comercialización Internacional UCC

description: En los últimos años, Colombia con el desarrollo de movimientos como la apertura económica, la aceleración de la integración a través de los bloques económicos y los procesos dados en la economía mundial, han significado dinámicos cambios, mentalidad global e internacional, generando la necesidad de ser cada vez más competitivos y de integrarse a la globalización, todo esto ha dado como resultado que las empresas desarrollen acciones de comercialización internacional como herramienta estratégica para conocer y llegar a sus consumidores en nuevos mercados cada vez más exigentes y ávidos de productos y servicios que satisfagan sus necesidades.

Lo que se busca con esta presentación, es desarrollar habilidades gerenciales en los estudiantes a partir del conocimiento y de las herramientas de comercialización internacional, para enfrentar con éxito la internacionalización de la empresa en el contexto global para asumir el reto de los negocios internacionales. De igual forma, se desarrollan diferentes talleres durante el progreso del curso, que le permiten a los estudiantes analizar actividades de comercialización internacional e implementar estrategias adecuadas de mercadeo para lograr la inserción de forma competitiva en los mercados internacionales. 

En las diferentes diapositivas, se avanza por diferentes temas para conocer el proceso y las etapas por las cuales atraviesa una empresa para convertirse en internacional, esto ayuda a desarrollar habilidades en los estudiantes y mejora sus competencias académicas para enfrentar adecuadamente los escenarios que enfrenta en los mercados internacionales. 

El trabajo que se busca desarrollar en el curso tiene como finalidad permitir al estudiante conocer la gestión de exportación a través de la comercialización internacional e investigación de mercados internacionales.
DOI: 10.17632/3jrpcrn5t6.1
title: Nutrient control of growth and metabolism through mTORC1 regulation of mRNA splicing Ogawa, et al.

description: Primary data for our Ogawa, et al. study on mTORC1 and mRNA splicing regulation during growth.
DOI: 10.15468/dl.2ajm8g
title: Occurrence Download

description: A dataset containing 25614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Paraguay)",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), RB - Rio de Janeiro Botanical Garden Herbarium Collection, NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Field Museum of Natural History (Botany) Seed Plant Collection)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysobalanaceae"
 ]
}

 The dataset includes 25614 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026945-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mngchgk695.1
title: Unethical pro-organizational behavior in nursing

description: It is a descriptive data set regarding UPB. It is data that includes nurses working in public and private hospitals in Istanbul.
DOI: 10.5281/zenodo.12752742
title: SHOH G'ARIB MIRZOGA YOZILGAN MARSIYANING G'OYAVIY-BADIIY XUSUSIYATLARI
DOI: 10.5281/zenodo.12752743
title: SHOH G'ARIB MIRZOGA YOZILGAN MARSIYANING G'OYAVIY-BADIIY XUSUSIYATLARI
DOI: 10.5281/zenodo.12745804
title: feelpp/article.fluid_rigid_body_ale: v1.1

description: Add reference to the paper on HAL
DOI: 10.5281/zenodo.12745805
title: feelpp/article.fluid_rigid_body_ale: Datasets for the Article on ALE formation for Fluid Rigid Body Interaction

description: Full Changelog: https://github.com/feelpp/article.fluid_rigid_body_ale/commits/v1
DOI: 10.5281/zenodo.12745866
title: feelpp/article.fluid_rigid_body_ale: v1.1

description: Add reference to the paper on HAL
DOI: 10.5281/zenodo.12752349
title: Input data and results of the RECC v2.5 model for the transformation scenarios of the global building stock

description: This dataset contains the input data and core results of the RECC v2.5 model for the transformation scenarios of the global building stock. For details abou the RECC model, see DOI https://doi.org/10.1111/jiec.13023 and the RECC model landing page: https://www.industrialecology.uni-freiburg.de/odym-recc

The following data are included in this dataset:



The entire model input database (120 model parameters)

The parameters for the sensitivity analysis (8 parameters)

The 70 folders with the core results

The master classification file RECC_Classifications_Master_V2.0.xlsx

The model config file RECC_Config.xlsx

The list of scenario configurations RECC_ModelConfig_List.xlsx

The result compilation and exporting configuration file RECCv2.5_EXPORT_Combine_Select.xlsx

The main result summary file (extracted from the 70 result folders) Results_Extracted_RECCv2.5_10Regs_sep.xlsx

The result summary file for comparison with the CRAFT model timber supply RECCv2.5_10Regs_CRAFT_Coupling_SHARE.xlsx

The results of the sensitivity analysis: Results_Extracted_RECCv2.5_10Regs_Sensitivity_sep.xlsx


Note that the result folders of the sensitivity analysis are not archived here (too little information in relation to the data volume). They can be requested from the author. The results can also be recreated by running the RECC model with the sensitivity analysis parameters.

The model itself is available as Python code from https://github.com/IndEcol/RECC-ODYM
DOI: 10.5281/zenodo.12752350
title: Input data and results of the RECC v2.5 model for the transformation scenarios of the global building stock

description: This dataset contains the input data and core results of the RECC v2.5 model for the transformation scenarios of the global building stock. For details abou the RECC model, see DOI https://doi.org/10.1111/jiec.13023 and the RECC model landing page: https://www.industrialecology.uni-freiburg.de/odym-recc

The following data are included in this dataset:



The entire model input database (120 model parameters)

The parameters for the sensitivity analysis (8 parameters)

The 70 folders with the core results

The master classification file RECC_Classifications_Master_V2.0.xlsx

The model config file RECC_Config.xlsx

The list of scenario configurations RECC_ModelConfig_List.xlsx

The result compilation and exporting configuration file RECCv2.5_EXPORT_Combine_Select.xlsx

The main result summary file (extracted from the 70 result folders) Results_Extracted_RECCv2.5_10Regs_sep.xlsx

The result summary file for comparison with the CRAFT model timber supply RECCv2.5_10Regs_CRAFT_Coupling_SHARE.xlsx

The results of the sensitivity analysis: Results_Extracted_RECCv2.5_10Regs_Sensitivity_sep.xlsx


Note that the result folders of the sensitivity analysis are not archived here (too little information in relation to the data volume). They can be requested from the author. The results can also be recreated by running the RECC model with the sensitivity analysis parameters.

The model itself is available as Python code from https://github.com/IndEcol/RECC-ODYM
DOI: 10.5281/zenodo.12752750
title: Scanning tunneling microscopy of pentacene on Cu(111)

description: STM images and spectroscopy of pentacene molecules on Cu(111). Data were taken at 5K. Data format is CreaTec ca 2007. (unpublished)
DOI: 10.5281/zenodo.12752751
title: Scanning tunneling microscopy of pentacene on Cu(111)

description: STM images and spectroscopy of pentacene molecules on Cu(111). Data were taken at 5K. Data format is CreaTec ca 2007. (unpublished)
DOI: 10.3886/e172301
title: Companion Files for Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

description: This repository includes all companion files (syntax, data files, etc.) for the open textbook, Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys. This textbook was developed based on a need to develop open education resources to train future public health professionals how to conduct applied data analysis using secondary national health surveys. A recent study of local health departments demonstrates that MPH graduates may not be prepared for analytical/assessment competencies, including a lack of knowledge, skills and abilities for data collection, database management, data cleaning, quantitative data analysis/statistics, and data analysis using SAS statistical software. A lack of MPH program course offerings and structured curriculum materials available for developing applied data analysis courses may contribute to the limited analytical/assessment competencies among recent graduates. <br><br>The open textbook includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance Survey (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). <br><br>This data repository includes accompanying SAS syntax and data files for:<br>Chapter 4 Basic Data AnalysisChapter 5 Complex Survey Design FeaturesChapter 6 National Health Interview Survey (NHIS)Chapter 7 Medical Expenditure Panel Survey (MEPS)Chapter 8 Health Information National Trends Survey (HINTS)Chapter 9 Behavioral Risk Factor Surveillance System (BRFSS)Chapter 10 National Health and Nutrition Examination Survey (NHANES)
DOI: 10.3886/e172301v1-155344
title: Companion Files for Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

description: This repository includes all companion files (syntax, data files, etc.) for the open textbook, Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys. This textbook was developed based on a need to develop open education resources to train future public health professionals how to conduct applied data analysis using secondary national health surveys. A recent study of local health departments demonstrates that MPH graduates may not be prepared for analytical/assessment competencies, including a lack of knowledge, skills and abilities for data collection, database management, data cleaning, quantitative data analysis/statistics, and data analysis using SAS statistical software. A lack of MPH program course offerings and structured curriculum materials available for developing applied data analysis courses may contribute to the limited analytical/assessment competencies among recent graduates. <br><br>The open textbook includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance Survey (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). <br><br>This data repository includes accompanying SAS syntax and data files for:<br>Chapter 4 Basic Data AnalysisChapter 5 Complex Survey Design FeaturesChapter 6 National Health Interview Survey (NHIS)Chapter 7 Medical Expenditure Panel Survey (MEPS)Chapter 8 Health Information National Trends Survey (HINTS)Chapter 9 Behavioral Risk Factor Surveillance System (BRFSS)Chapter 10 National Health and Nutrition Examination Survey (NHANES)
DOI: 10.3886/e172301v1-155345
title: Companion Files for Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys

description: This repository includes all companion files (syntax, data files, etc.) for the open textbook, Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys. This textbook was developed based on a need to develop open education resources to train future public health professionals how to conduct applied data analysis using secondary national health surveys. A recent study of local health departments demonstrates that MPH graduates may not be prepared for analytical/assessment competencies, including a lack of knowledge, skills and abilities for data collection, database management, data cleaning, quantitative data analysis/statistics, and data analysis using SAS statistical software. A lack of MPH program course offerings and structured curriculum materials available for developing applied data analysis courses may contribute to the limited analytical/assessment competencies among recent graduates. <br><br>The open textbook includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance Survey (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). <br><br>This data repository includes accompanying SAS syntax and data files for:<br>Chapter 4 Basic Data AnalysisChapter 5 Complex Survey Design FeaturesChapter 6 National Health Interview Survey (NHIS)Chapter 7 Medical Expenditure Panel Survey (MEPS)Chapter 8 Health Information National Trends Survey (HINTS)Chapter 9 Behavioral Risk Factor Surveillance System (BRFSS)Chapter 10 National Health and Nutrition Examination Survey (NHANES)
DOI: 10.15468/dl.h2j3c8
title: Occurrence Download

description: A dataset containing 34969005 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset includes 34969005 records from 5186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026944-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdczfz
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birdrace_Schräge_Vögel-Herford"
 ]
}

 The dataset includes 127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017952-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewfjbc
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus ×lannesiana (Carr) E.H.Wilson",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 198 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017607-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydsqsr
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mangifera indica L.",
 "Year 2009-2023"
 ]
}

 The dataset includes 313 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027396-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ss74v2
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiraea dasyantha Bunge",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 366 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017531-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8snie
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllophaga ravida (Blanchard, 1851)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017954-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jc52e6
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "StateProvince is Oregon",
 "TaxonKey is Toxomerus Macquart, 1855"
 ]
}

 The dataset's 2 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009316-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6zb4c
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Platyceps variabilis (Boulenger, 1905)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080754-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me7izs
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birdrace-Die_Nachtigallen-Herford"
 ]
}

 The dataset includes 103 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017956-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfk68b
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulemur coronatus (Gray, 1842)"
 ]
}

 The dataset includes 184 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024965-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md3dn3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnema cumingii Schltr."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017558-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2ngom
title: Occurrence Download

description: A dataset containing 9663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cucurbitales",
 "Country is Colombia"
 ]
}

 The dataset includes 9663 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017957-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.