cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17122012.v1
title: Analysis term use from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122015.v1
title: Data stemmed title terms commonly used terms countXdocument from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122018
title: Data raw from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122018.v1
title: Data raw from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122021
title: Analysis publication trends from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122021.v1
title: Analysis publication trends from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.5281/zenodo.5752301
title: Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction

description: Open data for <strong>Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction</strong>
DOI: 10.5281/zenodo.5045245
title: Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction

description: Open data for <strong>Engineering of intrinsic chiral torques in magnetic thin films based on the Dzyaloshinskii-Moriya interaction</strong>
DOI: 10.25721/3wz7-6d22
title: Valse
DOI: 10.6084/m9.figshare.17122039
title: Supplementary Data from Domarchive: a century of published dominance data

description: Plain-text copy of metadata included with in the DomArchive package
DOI: 10.6084/m9.figshare.17122039.v1
title: Supplementary Data from Domarchive: a century of published dominance data

description: Plain-text copy of metadata included with in the DomArchive package
DOI: 10.25721/y7hx-gp08
title: Information sur la cabrette "à bouche"
DOI: 10.17633/rd.brunel.15036168
title: Families and Collective Futures: Developing a Programme Logic Model for Arts-Based Psychosocial Practice with South African Rural Communities Dataset

description: <b>Aim</b> This aim of this study is to describe the development of a professional-led programme logic model to guide arts-based psychosocial practice delivered in rural South African farming communities, including workers and their families affected by transgenerational traumas. <b>Background</b> The rationale for developing a programme logic model for arts-based psychosocial practice in South Africa was based on the lack of evidence for effective community arts-based psychosocial interventions for collective trauma, unknown consensus about best practices and the requirement to reconsider individualised psychosocial practices. Further to this, the aims and benefits of the practice required clarity given the psychosocial complexity of the environment within which the practices for this population are being offered. The logic model offers a valuable resource for practitioners, participants and funders to understand the problem being addressed, how practice is defined, as well as the impact of practice. <b>Methods</b> The authors used a systematic iterative approach to describe the operationalisation of arts-based psychosocial practice. This resulted in the design of the logic model being informed by data from the focus groups, literature overview and operational policies and organisational documents. The development of the logic model involved actively investigating with practitioners their work with remote farming communities. We used organisational documents, policies and an overview of the literature to identify the operational elements, a focus group and thematised personal constructs with practitioners to define salient practice elements and their relationship to perceived benefits and lastly feedback from practitioners following implementation to make adjustments to the logic model. <b>Results</b> This data set describes the practice elements and impact of practice quantified according to a ranking process made by focus group members (arts based practitioners). this data then informed a visual mapping using the design of a programme logic model. The logic model was divided into 5 parts and was verified by practitioners following implementation as (Part 1) main presenting problem, (Part 2) operational processes, (Part 3) practice elements, (Part 4) benefits and impact and (Part 5) review.
DOI: 10.17633/rd.brunel.15036168.v1
title: Families and Collective Futures: Developing a Programme Logic Model for Arts-Based Psychosocial Practice with South African Rural Communities Dataset

description: <b>Aim</b> This aim of this study is to describe the development of a professional-led programme logic model to guide arts-based psychosocial practice delivered in rural South African farming communities, including workers and their families affected by transgenerational traumas. <b>Background</b> The rationale for developing a programme logic model for arts-based psychosocial practice in South Africa was based on the lack of evidence for effective community arts-based psychosocial interventions for collective trauma, unknown consensus about best practices and the requirement to reconsider individualised psychosocial practices. Further to this, the aims and benefits of the practice required clarity given the psychosocial complexity of the environment within which the practices for this population are being offered. The logic model offers a valuable resource for practitioners, participants and funders to understand the problem being addressed, how practice is defined, as well as the impact of practice. <b>Methods</b> The authors used a systematic iterative approach to describe the operationalisation of arts-based psychosocial practice. This resulted in the design of the logic model being informed by data from the focus groups, literature overview and operational policies and organisational documents. The development of the logic model involved actively investigating with practitioners their work with remote farming communities. We used organisational documents, policies and an overview of the literature to identify the operational elements, a focus group and thematised personal constructs with practitioners to define salient practice elements and their relationship to perceived benefits and lastly feedback from practitioners following implementation to make adjustments to the logic model. <b>Results</b> This data set describes the practice elements and impact of practice quantified according to a ranking process made by focus group members (arts based practitioners). this data then informed a visual mapping using the design of a programme logic model. The logic model was divided into 5 parts and was verified by practitioners following implementation as (Part 1) main presenting problem, (Part 2) operational processes, (Part 3) practice elements, (Part 4) benefits and impact and (Part 5) review.
DOI: 10.6084/m9.figshare.17122034
title: UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2021-12-03.
DOI: 10.6084/m9.figshare.17122034.v1
title: UNFCCC country-submitted greenhouse gas emissions data until 2021-12-03

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2021-12-03.
DOI: 10.6084/m9.figshare.16826374
title: Modeling the direct virus exposure risk associated with respiratory events

description: This repository contains: *Dataset of the manuscript "an effective model for evaluating the direct virus exposure associated to respiratory events".*Python scripts that can be used to generate the figures.<br>Manuscript DOI: (TBA)<br>The folder data.zip contains all the post-processed data used to generate the different figures.<br>Each figure*.zip folder contains: *The script that can be used to generate the respective figure (also provided in final format). *The supporting data for that figure (formatted format, .dat).<br>To reproduce the figure, unzip the respective folder and for:<br>-Figure 2 (manuscript): run the gnuplot script "figure2.py"<br>-Figure 3 (manuscript): run the python script "figure3.py"-Figure 4 (manuscript): run the python script "figure4.py"-Figure 5 (manuscript): run the python script "figure5.py"<br>-Figure 6 (manuscript): run the python script "figure6.py"<br><br>The resulting plots are also provided in *.png or *.pdf formats.<br>
DOI: 10.6084/m9.figshare.16826374.v6
title: Modeling the direct virus exposure risk associated with respiratory events

description: This repository contains: *Dataset of the manuscript "an effective model for evaluating the direct virus exposure associated to respiratory events".*Python scripts that can be used to generate the figures.<br>Manuscript DOI: (TBA)<br>The folder data.zip contains all the post-processed data used to generate the different figures.<br>Each figure*.zip folder contains: *The script that can be used to generate the respective figure (also provided in final format). *The supporting data for that figure (formatted format, .dat).<br>To reproduce the figure, unzip the respective folder and for:<br>-Figure 2 (manuscript): run the gnuplot script "figure2.py"<br>-Figure 3 (manuscript): run the python script "figure3.py"-Figure 4 (manuscript): run the python script "figure4.py"-Figure 5 (manuscript): run the python script "figure5.py"<br>-Figure 6 (manuscript): run the python script "figure6.py"<br><br>The resulting plots are also provided in *.png or *.pdf formats.<br>
DOI: 10.6084/m9.figshare.16826374.v5
title: An Effective Model for Evaluating The Direct Infection Risk Associated to Respiratory Events

description: This repository contains: *Dataset of the manuscript "an effective model for evaluating the direct virus exposure associated to respiratory events".*Python scripts that can be used to generate the figures.<br>DOI: <br>The folder data.zip contains all the post-processed data used in the different figures.<br>Each figure*.zip folder contains: *The script that can be used to generate the respective figure (also provided in final format). *The supporting data for that figure (formatted format, .dat).<br>To reproduce the figure, unzip the respective folder and for:<br>-Figure 2 (manuscript): run the gnuplot script "figure2.py"<br>-Figure 3 (manuscript): run the python script "figure3.py"-Figure 4 (manuscript): run the python script "figure4.py"-Figure 5 (manuscript): run the python script "figure5.py"<br>-Figure 6 (manuscript): run the python script "figure6.py"<br><br>The resulting plots are also provided in *.png or *.pdf formats.<br>
DOI: 10.6084/m9.figshare.17122040.v1
title: Stability of an anticancer peptide isolated from Flathead by-products during in vitro gastrointestinal digestion Untitled Item

description: Data for manuscript titled Stability of an anticancer peptide isolated from Flathead by-products during in vitro gastrointestinal digestion Untitled Item
DOI: 10.6084/m9.figshare.17122040
title: Stability of an anticancer peptide isolated from Flathead by-products during in vitro gastrointestinal digestion Untitled Item

description: Data for manuscript titled Stability of an anticancer peptide isolated from Flathead by-products during in vitro gastrointestinal digestion Untitled Item
DOI: 10.21223/qbadhx/jzc9ev
title: PTYield112020_HCO_exp3.tab

description: :unav
DOI: 10.21223/qbadhx/aebrwo
title: PTYield112020_HYO_exp3.tab

description: :unav
DOI: 10.25721/v6zm-ph12
title: Information sur les cabrettaires et accordéonistes régionaux
DOI: 10.25721/svhd-8r62
title: Information sur la cadence
DOI: 10.21223/zzstwk/hzbluz
title: 02_Data_dictionary.tab

description: :unav
DOI: 10.21223/zzstwk/2xoiw3
title: 03_Figure.xlsx

description: :unav
DOI: 10.21223/zzstwk/sqh2nz
title: 01_Rwanda_Data.tab

description: :unav
DOI: 10.21223/zzstwk
title: Dataset for: Biofortified clones in Rwanda 2020

description: Agronomic performance, min (BLUP), and characterization of advanced biofortified tetraploid genotypes evaluated in multilocation trials in Rwanda, 2020. 37 clones and Kinigi, Kirundo, Twihaze varieties were evaluated to be selected the TOP 10. DM (%), Fe (mg/kg) and Zn (mg/kg) were measured at Kinigi location
DOI: 10.21223/f6zzjh/jwqibw
title: 02_Potato Baked Processing Results Huancayo 2020-2021.tab

description: :unav
DOI: 10.21223/f6zzjh/y6evr5
title: 01_Potato Baked Processing Results Majes 2020-2021.tab

description: :unav
DOI: 10.21223/f6zzjh/kentn2
title: 05_Potato Baked Processing Results Cajamarca 2020-2021.tab

description: :unav
DOI: 10.21223/f6zzjh/yaj7tj
title: 04_Potato Baked Processing Results Huamachuco-Yanac 2020-2021.tab

description: :unav
DOI: 10.21223/f6zzjh/e50zss
title: 03_Potato Baked Processing Results Huamachuco-Licame 2020-2021.tab

description: :unav
DOI: 10.21223/f6zzjh/0jx9s7
title: 06_Potato Baked Processing Results Huanuco 2020-2021.tab

description: :unav
DOI: 10.21223/rktbnx/friu4c
title: 05_Potato Baked Processing Results Huanuco 2019-2020.tab

description: :unav
DOI: 10.21223/rktbnx/jebpvr
title: 01_Potato Baked Processing Results Huancayo 2019-2020.tab

description: :unav
DOI: 10.17638/datacat.liverpool.ac.uk/1556
title: Drosophila flavomontana
DOI: 10.21223/rktbnx/erqxxa
title: 01_Potato Baked Processing Results Majes 2019-2020.tab

description: :unav
DOI: 10.21223/rktbnx/4bgfwz
title: 03_Potato Baked Processing Results Huamachuco Licame 2019-2020.tab

description: :unav
DOI: 10.21223/rktbnx/5bptgj
title: 04_Potato Baked Processing Results Cajamarca 2019-2020.tab

description: :unav
DOI: 10.25721/6qb4-1g07
title: Information sur les bals