cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7460142
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7460932
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7461831
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7462137
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7462229
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7462427
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.7462490
title: World Flora Online Taxonomic Backbone

description: A static copy of the Taxonomic Backbone data is available for download here. These data are provided as Public Domain CC0 1.0 Universal (CC0 1.0). Nomenclatural and classification information used for the initial data ingestion into the World Flora Online taxonomic backbone was provided by The Plant List Version 1.1 (September 2013). The data resources used to build The Plant List were contributed by: African Plants Database (Conservatory and Botanical Gardens of the City of Geneva and South African National Biodiversity Institute); GrassBase; The Global Compositae Checklist (International Compositae Alliance); The International Legume Database and Information Service; The International Organisation for Plant Information; International Plant Names Index (Royal Botanic Gardens, Kew, Harvard University Herbaria, and Australian National Herbarium); The iPlants Project (Royal Botanical Gardens, Kew, Missouri Botanical Garden, and New York Botanical Garden); Missouri Botanical Garden (Bryophyte Checklist, Checklist of Bolivia, Flora of China Checklist, Checklist of Ecuador, Flora Mesoamericana, Checklist of Panama, Checklist of Peru); Royal Botanic Garden Edinburgh (Rosaceae), and World Checklist of Selected Plant Families. See www.theplantlist.org/1.1/about/#collaborators for further details. This initial backbone is now being actively curated by taxonomic specialists of particular plant groups, with Taxonomic Expert Networks (TENs) given responsibility for updating the classifications of families. The WFO Consortium welcomes participation of the world’s community of botanists to create and join TENs, to help improve the WFO taxonomic backbone and so develop an up-to-date global consensus classification. If you would like to join them or contribute please check the list of current WFO Taxonomic Expert Networks and their contact information in the About page.
DOI: 10.5281/zenodo.12171908
title: World Flora Online Plant List June 2024

description: The consensus taxonomy of plants used as the backbone for the World
        Flora Online (WFO) portal, and issued as editions of the WFO Plant
        List.

New versions of this checklist are released every six months in June and December: this is release
    2024-06.

The history of data development for the WFO taxonomic backbone is given on the WFO Plant List background page. Taxonomic names are incorporated into WFO from
    nomenclators International Plant Name Index (IPNI) for vascular plants, and Tropicos for bryophytes. Taxonomic and nomenclatural updates are
    incorporated from the WFO's Taxonomic Expert Networks (TENs)
    and
    the World Checklist of Vascular Plants (WCVP), facilitated by
    the Royal Botanic Gardens, Kew.


This data repository includes the following files:



    
wfo_plantlist_2024-06.zip The Catalogue of Life Data Package of the WFO Plant List. This is the
        most expressive standards based form of the list.
    
plant_list_2024-06.json.gz JSON formatted version of the WFO Plant List. This has been
        designed for direct import into a schemaless instance of a SOLR index and is used to drive the WFO Plant List
        API (https://list.worldfloraonline.org) which in turn drives the
        WFO Plant List in the portal. This is recommended if you want a local, read only version of the list rather than
        use the API.
    
plant_list_2024-06.sql.gz This is the complete production database (minus API
        keys) as a MySQL backup file. It can be restored directly to a MySQL 8.0 or later instance if you require the
        list in SQL format.
    
ipni_to_wfo.csv.gz A file mapping all the IPNI IDs we track to their associated WFO IDs.
    
families_dwc.tar.gz Individual Darwin Core Archive files for each of 719 recognized families.
        If you want a single family in DwC but can't load the whole list download and expand this file. Family and
        genus files are also available for download through the portal. These files exclude deprecated names.
    
_DwC_backbone_R.zip A single Darwin Core Archive file containing non deprecated names and taxa
        for use in the existing R package.
    
_uber.zip A single Darwin Core Archive file containing all names and taxa even those that are
        deprecated along with some extra columns
description: New versions of the WFO Plant List are released each solstice, in June and December.
DOI: 10.15468/dl.78n5cu
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipicephalus decoloratus Koch, 1844"
 ]
}

 The dataset includes 255 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045137-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14539685
title: KRIMINALISTIK TAKTIKANING UMUMIY QOIDALARI
DOI: 10.5281/zenodo.14539686
title: KRIMINALISTIK TAKTIKANING UMUMIY QOIDALARI
DOI: 10.15468/dl.2fxsrn
title: Occurrence Download

description: A dataset containing 3404051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "Year is 1999"
 ]
}

 The dataset includes 3404051 records from 1116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045135-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14539477
title: STRATEGIES TO ACHIEVE TECHNOLOGY TRANSFER FROM FOREIGN COMPANIES TO LOCAL COMPANIES IN MEXICO TO INCREASE REAL INCOME AND EMPLOYMENT

description: This research examines strategies to enhance technology transfer from foreign companies to local businesses in Mexico to boost income and employment. Despite significant foreign direct investment (FDI), Mexico has seen limited improvements in wages and high-skill job opportunities. The study will find solutions to identified problems including the dominance of foreign firms, which contribute to these challenges. Using a combination of qualitative and quantitative methods, the research will collect data from 15 local and foreign companies, focusing on patent purchases, staff qualifications, and intellectual property charges. A Structural Equation Model (SEM) will be used to analyze the relationships between education, human capital, and firm performance in facilitating technology transfer. The findings will inform policy recommendations to improve local productivity, wages, and Mexico's competitiveness in the global economy.
DOI: 10.5281/zenodo.14539478
title: STRATEGIES TO ACHIEVE TECHNOLOGY TRANSFER FROM FOREIGN COMPANIES TO LOCAL COMPANIES IN MEXICO TO INCREASE REAL INCOME AND EMPLOYMENT

description: This research examines strategies to enhance technology transfer from foreign companies to local businesses in Mexico to boost income and employment. Despite significant foreign direct investment (FDI), Mexico has seen limited improvements in wages and high-skill job opportunities. The study will find solutions to identified problems including the dominance of foreign firms, which contribute to these challenges. Using a combination of qualitative and quantitative methods, the research will collect data from 15 local and foreign companies, focusing on patent purchases, staff qualifications, and intellectual property charges. A Structural Equation Model (SEM) will be used to analyze the relationships between education, human capital, and firm performance in facilitating technology transfer. The findings will inform policy recommendations to improve local productivity, wages, and Mexico's competitiveness in the global economy.
DOI: 10.15468/dl.vec85v
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brontispa longissima (Gestro, 1885)"
 ]
}

 The dataset includes 177 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045138-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14499143
title: MSEA-RiceYield30m
DOI: 10.5281/zenodo.14499144
title: MSEA-RiceYield30m
DOI: 10.5281/zenodo.14539673
title: Research on the Impact Evaluation of Academic Monographs Based on Large Language Models

description: Based on the abstract text data of 2,248 sociology monographs included in the Dimensions database from 2014 to 2023, the study scores the abstracts using the ChatGPT-4o model and conducts empirical analyses by combining citation counts, Altmetrics data, and readability indices. The results show that the ChatGPT-4o scores have a strong correlation with the number of citations and Altmetrics indicators, outperforming the correlation between the readability index and citations/Altmetrics. This study provides a new framework for the textual analysis of academic monographs and demonstrates the potential of large language models in academic evaluation.
DOI: 10.5281/zenodo.14539674
title: Research on the Impact Evaluation of Academic Monographs Based on Large Language Models

description: Based on the abstract text data of 2,248 sociology monographs included in the Dimensions database from 2014 to 2023, the study scores the abstracts using the ChatGPT-4o model and conducts empirical analyses by combining citation counts, Altmetrics data, and readability indices. The results show that the ChatGPT-4o scores have a strong correlation with the number of citations and Altmetrics indicators, outperforming the correlation between the readability index and citations/Altmetrics. This study provides a new framework for the textual analysis of academic monographs and demonstrates the potential of large language models in academic evaluation.
DOI: 10.5281/zenodo.14539704
title: A MODERN PERSPECTIVE ON THE CHOICE OF ABDOMINOPLASTY FOR VENTRAL HERNIAS WITH PTOSIS OF THE ANTERIOR ABDOMINAL WALL
DOI: 10.5281/zenodo.14539705
title: A MODERN PERSPECTIVE ON THE CHOICE OF ABDOMINOPLASTY FOR VENTRAL HERNIAS WITH PTOSIS OF THE ANTERIOR ABDOMINAL WALL
DOI: 10.15472/cjxwuz
title: Colección de Ornitología - Museo de Ciencias Naturales de La Salle

description: Contiene 3446 registros que corresponden a los datos de colecta de los individuos que hacen parte de la Colección Ornitológica realizada por los Hermanos de La Salle en el período 1910-2001. De éstos la mayor representatividad es avifauna local del departamento de Antioquia con un 67.4%, seguido por el Norte de Colombia (14.6%), Centro (5.0%), Occidente (3.5%), Sur (3.5%), Oriente (1.6%) y el Altiplano Cundiboyacense (1.5%) y el 0.7% procede por canje y donaciones de otros países como Bélgica, EE.UU, Italia, Cánada, España, Ecuador y Costa Rica.

El 100% de los ejemplares está identificado hasta especie y de éstos el 79.1% hasta subespecie. La curaduría taxonómica de los ejemplares ha sido revisada por reconocidos taxónomos nacionales e internacionales.
DOI: 10.5281/zenodo.13853757
title: Supplementary data to the African Yam Bean Whole Genome Sequencing Project ENA Project_ID:PRJEB57813

description: The first chromosome-scale assembly of the African yam bean, Sphenostylis stenocarpa (Hochst. ex. A. Rich.) Harms, an original African tuberous legume producing both pods and protein-rich tubers.

ENA Project_ID: PRJEB57813

Genome Assembly Accession: GCA_963425845
DOI: 10.5281/zenodo.4108325
title: Mask R-CNN for characterization of yardang landforms

description: This includes the source code and datasets for the automated characterization of yardang landforms using Mask R-CNN. Codes and datasets used in the manuscript will be submitted to the Journal of Geophysical Research: Earth Surface are included. The readability of codes and other documents will be updated soon.