cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10647879
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Agudelo-Zapata MC, Álvarez Correa C, Bedoya Duque C, Cardona-Duque J, Idárraga M, Marentes-Herrera E & Molina JA. 2023. Dimensiones de la biodiversidad del Refugio de Vida Silvestre Alto de San Miguel. Universidad CES-Secretaría de Medio Ambiente de Medellín, 2023

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/universityces2023) has size  128KiB and contains 20 interactions with 4 unique types of associations (e.g., flowersVisitedBy) between 9 primary taxa (e.g., Xanthosoma) and 11 associated taxa (e.g., Cyclocephala tutilina Burmeister, 1847). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review, metadata, and data. This means that data appendices in the data review are available in review-report.zip




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


review-report.zip
archive of review reports and associated data
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.34740/kaggle/dsv/7607799
title: Deep Essays Dataset
DOI: 10.5281/zenodo.10647891
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Kasina M, Kimani I, Mulwa S and Muliaro W. A review of the status of web-based African Plant-Pollinator Interaction data.

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/kalro2023) has size  410KiB and contains 1023 interactions with 8 unique types of associations (e.g., pollinates) between 512 primary taxa (e.g., Apis mellifera) and 331 associated taxa (e.g., Persea americana). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review, metadata and data. This means that data appendices in the data review are openly available in the review archive.




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file


review-report.zip
review archive includes reports and associated data appendices
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647892
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Kasina M, Kimani I, Mulwa S and Muliaro W. A review of the status of web-based African Plant-Pollinator Interaction data.

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/kalro2023) has size  410KiB and contains 1023 interactions with 8 unique types of associations (e.g., pollinates) between 512 primary taxa (e.g., Apis mellifera) and 331 associated taxa (e.g., Persea americana). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review, metadata and data. This means that data appendices in the data review are openly available in the review archive.




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file


review-report.zip
review archive includes reports and associated data appendices
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647909
title: Apuntes para una crítica ideológica a Principia Iuris de Luigi Ferrajoli. Por una (meta) teoría popular del derecho

description: El objetivo de este artículo es esbozar una crítica ideológica a la teoría del derecho de Principia Iuris. Se intentará mostrar que el propósito metateórico de Ferrajoli adolece de cierto elitismo intelectual y que, inconscientemente, ello le aleja de la función democratizadora que debería tener la teoría del derecho. Desgranaremos la crítica en dos aspectos: primero se cuestionará el cometido que Ferrajoli asigna a la filosofía y se impugnará la pretensión de trazar una teoría general del derecho en el contexto de la globalización; después se señalarán algunos elementos para la crítica del método axiomatizado, denunciando el formalismo en que incurre y los obstáculos que plantea para la cultura democrática.
DOI: 10.5281/zenodo.10647910
title: Apuntes para una crítica ideológica a Principia Iuris de Luigi Ferrajoli. Por una (meta) teoría popular del derecho

description: El objetivo de este artículo es esbozar una crítica ideológica a la teoría del derecho de Principia Iuris. Se intentará mostrar que el propósito metateórico de Ferrajoli adolece de cierto elitismo intelectual y que, inconscientemente, ello le aleja de la función democratizadora que debería tener la teoría del derecho. Desgranaremos la crítica en dos aspectos: primero se cuestionará el cometido que Ferrajoli asigna a la filosofía y se impugnará la pretensión de trazar una teoría general del derecho en el contexto de la globalización; después se señalarán algunos elementos para la crítica del método axiomatizado, denunciando el formalismo en que incurre y los obstáculos que plantea para la cultura democrática.
DOI: 10.6084/m9.figshare.13108034
title: Arctic COSMO-CLM hindcast 1987

description: COSMO-CLM Russia Arctic climate dataset
DOI: 10.6084/m9.figshare.13108034.v5
title: Arctic COSMO-CLM hindcast 1987

description: COSMO-CLM Russia Arctic climate dataset
DOI: 10.6084/m9.figshare.13108034.v4
title: Arctic COSMO-CLM hindcast 1987

description: COSMO-CLM Russia Arctic climate dataset
DOI: 10.5281/zenodo.10647927
title: Rudolf von Jhering: Nuestra tarea (1857). En torno a la jurisprudencia de conceptos: surgimiento, auge y declive

description: Traducción del clásico "Nuestra tarea" (Unsere Aufgabe) de Rudolf von Jhering, con 12 notas explicativas del traductor (Luis Lloredo) y un estudio preliminar de 17 páginas (a cargo de Luis Lloredo).
DOI: 10.5281/zenodo.10647928
title: Rudolf von Jhering: Nuestra tarea (1857). En torno a la jurisprudencia de conceptos: surgimiento, auge y declive

description: Traducción del clásico "Nuestra tarea" (Unsere Aufgabe) de Rudolf von Jhering, con 12 notas explicativas del traductor (Luis Lloredo) y un estudio preliminar de 17 páginas (a cargo de Luis Lloredo).
DOI: 10.6084/m9.figshare.13108124
title: Arctic COSMO-CLM hindcast 1988

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13108124.v5
title: Arctic COSMO-CLM hindcast 1988

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13108124.v4
title: Arctic COSMO-CLM hindcast 1988

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.20383/102.0518
title: Meteorological and spatial datasets for Saint John River Basin

description: The Saint John River Basin (SJRB) is an important transboundary coastal river basin in northeastern North America. Meteorological forcing data play a pivotal role in model performance and therefore can introduce a large degree of uncertainty in hydrological modelling. The data archived here comprises the processed meteorological and spatial dataset used for the modelling purpose for SJRB as reported in Budhathoki et al., 2021.
DOI: 10.5281/zenodo.10647942
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Christine Taliga, Diana Cox-Foster 2023. USDA NRCS PLANTS Pollinator Interaction Prototype Data

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/usda2023) has size XXXMiB and contains XXX interactions with XXX unique types of associations (e.g., XXX) between XXX primary taxa (e.g., XXX) and XXX associated taxa (e.g., XXX). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to keep their review, metadata and data private. This means that none of the review products are publicly available, and the abstract was redacted.




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


review-report.zip
review archive with reports and associated data appendices
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647941
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Christine Taliga, Diana Cox-Foster 2023. USDA NRCS PLANTS Pollinator Interaction Prototype Data

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/usda2023) has size XXXMiB and contains XXX interactions with XXX unique types of associations (e.g., XXX) between XXX primary taxa (e.g., XXX) and XXX associated taxa (e.g., XXX). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to keep their review, metadata and data private. This means that none of the review products are publicly available, and the abstract was redacted.




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


review-report.zip
review archive with reports and associated data appendices
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647961
title: A More Competent, Warm, Feminine, and Human Leader: Perceptions and Effectiveness of Democratic Versus Authoritarian Political Leaders

description: These files contain the data and syntaxes of all the studies from Sainz, Moreno-Bella and Torres-Vega (2021).
DOI: 10.5281/zenodo.10647962
title: A More Competent, Warm, Feminine, and Human Leader: Perceptions and Effectiveness of Democratic Versus Authoritarian Political Leaders

description: These files contain the data and syntaxes of all the studies from Sainz, Moreno-Bella and Torres-Vega (2021).
DOI: 10.3886/e120570v1-146025
title: Data and Code for: The Legacy of Colonial Medicine in Central Africa

description: Between 1921 and 1956, French colonial governments organized medical campaigns to treat and prevent sleeping sickness. Villagers were forcibly examined and injected with medications with severe, sometimes fatal, side effects. We digitized thirty years of archival records to document the locations of campaign visits at a granular geographic level for five central African countries. We find that greater campaign exposure reduces vaccination rates and trust in medicine -- as measured by willingness to consent to a blood test. We examine relevance for present day health initiatives; World Bank projects in the health sector are less successful in areas with greater exposure.
DOI: 10.5281/zenodo.10647815
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Marques, Bruno Ferreira; Carvalheiro, Luísa G. 2023. Orange (Citrus sinensis L. Osbeck, var. Pera-rio) insect floral visiting data of orchards in Itaberaí, Goiás, Brasil

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/ferreira2023) has size  103KiB and contains 13 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 1 primary taxa (e.g., Citrus) and 10 associated taxa (e.g., Diptera). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available.   




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647816
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Marques, Bruno Ferreira; Carvalheiro, Luísa G. 2023. Orange (Citrus sinensis L. Osbeck, var. Pera-rio) insect floral visiting data of orchards in Itaberaí, Goiás, Brasil

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/ferreira2023) has size  103KiB and contains 13 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 1 primary taxa (e.g., Citrus) and 10 associated taxa (e.g., Diptera). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available.   




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5281/zenodo.10647981
title: Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Marques, Bruno Ferreira; Carvalheiro, Luísa G. 2023. Orange (Citrus sinensis L. Osbeck, var. Pera-rio) insect floral visiting data of orchards in Itaberaí, Goiás, Brasil

description: Abstract

Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/ferreira2023) has size  103KiB and contains 13 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 1 primary taxa (e.g., Citrus) and 10 associated taxa (e.g., Diptera). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.

Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available.   




filename
description


index.pdf
data review report as pdf


index.docx
data review report as docx


index.md
data review report as markdown


index.html
data review report as html


eml.xml
ecological metadata file
description: WorldFAIR has received funding from the European Commission’s WIDERA coordination and support programme under the Grant Agreement no. 101058393. The content of this document does not represent the opinion of the European Commission, and the European Commission is not responsible for any use that might be made of such content.
DOI: 10.5519/qd.0ouay426
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.onanga3i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.kb3oy7x4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.jo2mfyd2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.vf9u9qf6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.tr2y9hay
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.3761562.v2851
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5519/qd.euda5sdl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.57745/yru49a
title: chapter_05_tracking_2.avi

description: Automatic Segmentation of Vocal Tract Articulators in RT-MRI for Sequence 2
DOI: 10.57745/5xyznf
title: chapter_06_mean_contour_synthesis_3_with_audio.avi

description: Phoneme-Wise Mean Contour Synthesis of the Vocal Tract Shape for Sequence 3
DOI: 10.57745/91f61d
title: chapter_06_autoencoder_based_synthesis_1_with_audio.avi

description: Autoencoder-Based Synthesis of the Vocal Tract Shape for Sequence 1
DOI: 10.57745/ecnjmc
title: chapter_05_tracking_3.avi

description: Automatic Segmentation of Vocal Tract Articulators in RT-MRI for Sequence 3
DOI: 10.57745/qpye4r
title: chapter_06_model_free_synthesis_3_with_audio.avi

description: Model-Free Synthesis of the Vocal Tract Shape for Sequence 3
DOI: 10.57745/7gqgje
title: chapter_06_model_free_synthesis_2_with_audio.avi

description: Model-Free Synthesis of the Vocal Tract Shape for Sequence 2
DOI: 10.57745/bbujr0
title: chapter_06_mean_contour_synthesis_1_with_audio.avi

description: Phoneme-Wise Mean Contour Synthesis of the Vocal Tract Shape for Sequence 1
DOI: 10.57745/lldiif
title: chapter_05_tracking_1.avi

description: Automatic Segmentation of Vocal Tract Articulators in RT-MRI for Sequence 1
DOI: 10.57745/gfms04
title: chapter_06_autoencoder_based_synthesis_2_with_audio.avi

description: Autoencoder-Based Synthesis of the Vocal Tract Shape for Sequence 2
DOI: 10.57745/wizqho
title: chapter_06_autoencoder_based_synthesis_3_with_audio.avi

description: Autoencoder-Based Synthesis of the Vocal Tract Shape for Sequence 3
DOI: 10.57745/ol3ozc
title: chapter_06_mean_contour_synthesis_2_with_audio.avi

description: Phoneme-Wise Mean Contour Synthesis of the Vocal Tract Shape for Sequence 2
DOI: 10.57745/gjlzhy
title: chapter_06_model_free_synthesis_1_with_audio.avi

description: Model-Free Synthesis of the Vocal Tract Shape for Sequence 1
DOI: 10.6084/m9.figshare.25203038
title: DANCE benchmark dataset

description: DANCE is the first standard, generic, and extensible benchmark platform for accessing and evaluating computational methods across the spectrum of benchmark datasets for numerous single-cell analysis tasks. Currently, DANCE supports 3 modules and 8 popular tasks with 32 state-of-art methods on 21 benchmark datasets. People can easily reproduce the results of supported algorithms across major benchmark datasets via minimal efforts, such as using only one command line. In addition, DANCE provides an ecosystem of deep learning architectures and tools for researchers to facilitate their own model development. DANCE is an open-source Python package that welcomes all kinds of contributions.<br>
DOI: 10.6084/m9.figshare.13108157
title: Arctic COSMO-CLM hindcast 1989

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13108157.v5
title: Arctic COSMO-CLM hindcast 1989

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13108157.v4
title: Arctic COSMO-CLM hindcast 1989

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.34740/kaggle/dsv/7608110
title: crypto-data-daily-updates