cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/57613865-46f0-47e7-b25e-423519cf180f
title: Data for: "Ni/Au contacts to corundum α-Ga2O3"

description: The structural, chemical and electrical properties of Ni/Au contacts to atomic layer deposited α-Ga2O3 were investigated. Ni forms a Schottky contact with α-Ga2O3, irrespectively of the post-annealing temperature. No sign of metal oxidation was observed at the metal-semiconductor interface (unlike what is observed for other metals like Ti), and instead, the metallurgical processes of the Ni-Au bilayer dominate the electrical properties. It is found that 400-450oC is the optimal annealing temperature, which allows for metal diffusion to heal gaps at the metal/semiconductor interface, but is not sufficient for Ni and Au to significantly interdiffuse and form an alloy with compositional inhomogeneities.
DOI: 10.5281/zenodo.7576268
title: Mineral resources and the salience of ethnic identities

description: This paper shows how ethnic identities may become more salient due to natural resources extraction. We combine individual data on the strength of ethnic – relative to national – identities with geo-localized information on the contours of ethnic homelands and on the timing and location of mineral resources exploitation in 25 African countries, from 2005 to 2015. Our strategy takes advantage of several dimensions of exposure to resources exploitation: time, spatial proximity, and ethnic proximity. We find that the strength of an ethnic group identity increases when mineral resource exploitation in that group’s historical homeland intensifies. We argue that<br> this result is at least partly rooted in feelings of relative deprivation associated with the exploitation of the resources. We show that such exploitation has limited positive economic spillovers, especially for members of the indigenous ethnic group; and that the link between mineral resources and the salience of ethnic identities is reinforced among members of powerless ethnic groups, and<br> groups with strong baseline identity feelings or living in poorer areas, or areas with a history of conflict. Put together, these finding suggest a new dimension of the natural resource curse: the fragmentation of identities, between ethnic groups and nations.
DOI: 10.5281/zenodo.7576267
title: Mineral resources and the salience of ethnic identities

description: This paper shows how ethnic identities may become more salient due to natural resources extraction. We combine individual data on the strength of ethnic – relative to national – identities with geo-localized information on the contours of ethnic homelands and on the timing and location of mineral resources exploitation in 25 African countries, from 2005 to 2015. Our strategy takes advantage of several dimensions of exposure to resources exploitation: time, spatial proximity, and ethnic proximity. We find that the strength of an ethnic group identity increases when mineral resource exploitation in that group’s historical homeland intensifies. We argue that<br> this result is at least partly rooted in feelings of relative deprivation associated with the exploitation of the resources. We show that such exploitation has limited positive economic spillovers, especially for members of the indigenous ethnic group; and that the link between mineral resources and the salience of ethnic identities is reinforced among members of powerless ethnic groups, and<br> groups with strong baseline identity feelings or living in poorer areas, or areas with a history of conflict. Put together, these finding suggest a new dimension of the natural resource curse: the fragmentation of identities, between ethnic groups and nations.
DOI: 10.21227/2zeq-n192
title: pulse dataset

description: The formation and changes of the pulse wave areaffected by the functional status of the heart, blood, and arterial vessels. The pulse signal covers pathological information in the cardiovascular system, and the doctor of traditional Chinese medicine (TCM) can diagnose diseases by feeling the pulse. The diagnosis of diseases through feeling the pulse of TCM primarily relies on the doctor’s feelings and subjective experience, and it lacks objectified data. In this work, pulse signals were collected digitally by designing pulse sensors and pulse acquisition systems in accordance with the feel pulse habits of TCM. The pulse rate variability was used to characterize the functional state of the heart. The average magnitude difference function (AMDF) fuzzy entropy method was proposed to investigate the change in pulserate. A total of 77 volunteers with different heart health conditions were recruited for the collection of the pulse signal. Results showed that the AMDF fuzzy entropy can distinguish clearly among knotted pulse, regular intermittent pulse, and normal pulse. Therefore, this method has potential application value to realize cardiac-function state analysis and abnormal recognition.
DOI: 10.3886/e183725v1
title: ECIN Replication Package for "Firm Outward Direct Investment and Multinational Activity under Domestic Taxes"

description: The code in this replication package uses several different data sources. In this read-me file, we distinguish between the main data sources and auxiliary data sources also used to construct the main results.The package includes all the programs necessary to derive the final results (the 6 figures and 10 tables in the paper, as well as the 4 figures and 8 tables in the online Appendix) from raw data. The code was run using Stata Version 14.
DOI: 10.3886/e183725
title: ECIN Replication Package for "Firm Outward Direct Investment and Multinational Activity under Domestic Taxes"

description: The code in this replication package uses several different data sources. In this read-me file, we distinguish between the main data sources and auxiliary data sources also used to construct the main results.The package includes all the programs necessary to derive the final results (the 6 figures and 10 tables in the paper, as well as the 4 figures and 8 tables in the online Appendix) from raw data. The code was run using Stata Version 14.
DOI: 10.5281/zenodo.7634783
title: mtKO_nucleoids dataset 01 - ATP6 KO

description: This is one of five imaging datasets to compare mtDNA mutant cell lines with isogenic wild-type cell lines by mtFociCounter. Images are <strong>Spinning Disk Confocal </strong>Images of unsorted 3t3 NIH mouse fibroblasts stably expressing <strong>mitochondrially</strong>targeted dsRed, immunofluorescence against dsDNA (mitochondrial <strong>nucleoids</strong>) and AlexaFluor 647, and stained <strong>nuclei</strong>with Hoechst.<br> Samples from the same day are 13mm coverslips processed in parallel (seeding of cells, fixation, immunofluorescence, microscopy) and mounted on the same glass slide (#1 on left, #2 centre, #3 right). This dataset contains data from <strong>WT</strong> cells and <strong>ATP6 loss of function</strong> mutations from the following acquisition dates:<br> 20221022<br> 20221026<br> 20221029 For further details, please do not hesitate to contact the author, timorey AT hotmail DOT com.<br> A preprint with experimental details and analysis will be available soon.
DOI: 10.5281/zenodo.7634782
title: mtKO_nucleoids dataset 01 - ATP6 KO

description: This is one of five imaging datasets to compare mtDNA mutant cell lines with isogenic wild-type cell lines by mtFociCounter. Images are <strong>Spinning Disk Confocal </strong>Images of unsorted 3t3 NIH mouse fibroblasts stably expressing <strong>mitochondrially</strong>targeted dsRed, immunofluorescence against dsDNA (mitochondrial <strong>nucleoids</strong>) and AlexaFluor 647, and stained <strong>nuclei</strong>with Hoechst.<br> Samples from the same day are 13mm coverslips processed in parallel (seeding of cells, fixation, immunofluorescence, microscopy) and mounted on the same glass slide (#1 on left, #2 centre, #3 right). This dataset contains data from <strong>WT</strong> cells and <strong>ATP6 loss of function</strong> mutations from the following acquisition dates:<br> 20221022<br> 20221026<br> 20221029 For further details, please do not hesitate to contact the author, timorey AT hotmail DOT com.<br> A preprint with experimental details and analysis will be available soon.
DOI: 10.5281/zenodo.7634627
title: Supplementary Information for "Mapping potential conflicts between global agriculture and terrestrial conservation"

description: This archive contains supplementary figures from mapping potential conflicts between global agriculture and terrestrial conservation in 2010 and 2070. Please see the captions of these figures below. <strong>Supplementary Figure 3.</strong> Distribution of regional land use by agricultural commodity and conservation priority (CP) index intervals (48 x 3 sub-figures).<br> <strong>Supplementary Figure 4.</strong> Distribution of regional land use (left) and global land use (right) of 48 agricultural commodities (48 x 3 sub-figures). The x-axis is the land use as a proportion of the total global production area.<br> <strong>Supplementary Figure 5.</strong> Comparison of the distribution of regional land use for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 7 x 2 sub-figures).<br> <strong>Supplementary Figure 6.</strong> Comparison of land use and conservation conflict between national and global levels. The y-axis refers to the land use as a proportion of the total global production area. There are 48 agricultural commodities for 197 countries (197 x 48 x 3 sub-figures).<br> <strong>Supplementary Figure 7.</strong> Comparison of the land use distribution of top producers for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 10 x 2 sub-figures).<br> <strong>Supplementary Figure 8.</strong> Spatial distribution maps of production areas for 48 agricultural commodities (48 x 3 maps).<br> <strong>Supplementary Figure 9.</strong> Conflict between conservation priority sites and (non-)domestic land use for 42 agricultural commodities associated with consumption in 197 countries (197 x 42 x 3 sub-figures).<br> <strong>Supplementary Figure 10.</strong> Land use maps of 42 agricultural commodities linked to consumption in 197 countries (197 x 42 x 3 maps).<br> <strong>Supplementary Figure 11.</strong> Conservation priority index and export rate of selected agricultural commodity for primary production cells (land use of each agricultural commodity &gt; 10% of cell area). <strong>a</strong>) Current status in 2010. <strong>b</strong>) Shifts of conservation priority in 2070 (RCP 8.5). Triangles point-up and point-down to indicate increased and decreased CP, respectively. Density plots on top and right show cell densities corresponding to export rate and CP index, respectively.<br> <strong>Supplementary Figure 12.</strong> Maps of global conservation priority index in 2010 and 2070.<br> <strong>Supplementary Figure 13. a</strong>, Performance curves for prioritization per scenario 2010, 2070-RCP2.6, and 2070-RCP8.5). Curves show the average fraction of species' range covered in each scenario weighted by each species weight, divided by the total weight of species (y-axis), by a given fraction of the landscape (x-axis). <strong>b</strong>, Histograms and boxplots of all CP map pixels. Each jittered point in boxplots represents a map pixel.
DOI: 10.5281/zenodo.7634626
title: Supplementary Information for "Mapping potential conflicts between global agriculture and terrestrial conservation"

description: This archive contains supplementary figures from mapping potential conflicts between global agriculture and terrestrial conservation in 2010 and 2070. Please see the captions of these figures below. <strong>Supplementary Figure 3.</strong> Distribution of regional land use by agricultural commodity and conservation priority (CP) index intervals (48 x 3 sub-figures).<br> <strong>Supplementary Figure 4.</strong> Distribution of regional land use (left) and global land use (right) of 48 agricultural commodities (48 x 3 sub-figures). The x-axis is the land use as a proportion of the total global production area.<br> <strong>Supplementary Figure 5.</strong> Comparison of the distribution of regional land use for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 7 x 2 sub-figures).<br> <strong>Supplementary Figure 6.</strong> Comparison of land use and conservation conflict between national and global levels. The y-axis refers to the land use as a proportion of the total global production area. There are 48 agricultural commodities for 197 countries (197 x 48 x 3 sub-figures).<br> <strong>Supplementary Figure 7.</strong> Comparison of the land use distribution of top producers for 48 agricultural commodities between 2010 and 2070 scenarios (48 x 10 x 2 sub-figures).<br> <strong>Supplementary Figure 8.</strong> Spatial distribution maps of production areas for 48 agricultural commodities (48 x 3 maps).<br> <strong>Supplementary Figure 9.</strong> Conflict between conservation priority sites and (non-)domestic land use for 42 agricultural commodities associated with consumption in 197 countries (197 x 42 x 3 sub-figures).<br> <strong>Supplementary Figure 10.</strong> Land use maps of 42 agricultural commodities linked to consumption in 197 countries (197 x 42 x 3 maps).<br> <strong>Supplementary Figure 11.</strong> Conservation priority index and export rate of selected agricultural commodity for primary production cells (land use of each agricultural commodity &gt; 10% of cell area). <strong>a</strong>) Current status in 2010. <strong>b</strong>) Shifts of conservation priority in 2070 (RCP 8.5). Triangles point-up and point-down to indicate increased and decreased CP, respectively. Density plots on top and right show cell densities corresponding to export rate and CP index, respectively.<br> <strong>Supplementary Figure 12.</strong> Maps of global conservation priority index in 2010 and 2070.<br> <strong>Supplementary Figure 13. a</strong>, Performance curves for prioritization per scenario 2010, 2070-RCP2.6, and 2070-RCP8.5). Curves show the average fraction of species' range covered in each scenario weighted by each species weight, divided by the total weight of species (y-axis), by a given fraction of the landscape (x-axis). <strong>b</strong>, Histograms and boxplots of all CP map pixels. Each jittered point in boxplots represents a map pixel.
DOI: 10.5281/zenodo.5973929
title: Emergence of chaos in a compartmentalized catalytic reaction nanosystem - Database

description: <strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-36434-y) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong> FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at pressures of p<sub>H2</sub> = 7.0 x 10<sup>-6</sup>, p<sub>H2</sub> = 8.5 x 10<sup>-6</sup> and p<sub>H2</sub> = 11.5 x 10<sup>-6</sup> mbar and constant p<sub>O2</sub> = 4.4 x 10<sup>-6</sup> mbar and data of the calculated surface coverages from the microkinetic simulations.
DOI: 10.5281/zenodo.5973928
title: Emergence of chaos in a compartmentalized catalytic reaction nanosystem - Database

description: <strong>Supplementary Data to the associated "Nature Communications" article (doi: 10.1038/s41467-023-36434-y) containing the FEM measurements and timeseries simulated by the microkinetic modelling.</strong> FEM measurements of the oscillating hydrogen oxidation reaction on Rh at T = 453 K at pressures of p<sub>H2</sub> = 7.0 x 10<sup>-6</sup>, p<sub>H2</sub> = 8.5 x 10<sup>-6</sup> and p<sub>H2</sub> = 11.5 x 10<sup>-6</sup> mbar and constant p<sub>O2</sub> = 4.4 x 10<sup>-6</sup> mbar and data of the calculated surface coverages from the microkinetic simulations.
DOI: 10.5281/zenodo.7628465
title: rafamestre/Multimodal-USElecDeb60To16: v1.0.0

description: Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "<strong>Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates"</strong>, published at the <em>Findings of the 17th conference on European chapter of the Association for Computational Linguistics</em> (EACL) in 2023.
DOI: 10.5281/zenodo.7629904
title: rafamestre/Multimodal-USElecDeb60To16: v1.0.0

description: Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "<strong>Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates"</strong>, published at the <em>Findings of the 17th conference on European chapter of the Association for Computational Linguistics</em> (EACL) in 2023. This is the version that contains the audio features and the artificial voices. If you want a (lighter) version without those large files, check out the first release v.1.0.0 with DOI 10.5281/zenodo.7628465.
DOI: 10.5281/zenodo.7628464
title: rafamestre/Multimodal-USElecDeb60To16: v1.0.0

description: Dataset and codes for the Multimodal USElecDeb60To16 dataset, released in the paper "<strong>Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates"</strong>, published at the <em>Findings of the 17th conference on European chapter of the Association for Computational Linguistics</em> (EACL) in 2023. This is the version that contains the audio features and the artificial voices. If you want a (lighter) version without those large files, check out the first release v.1.0.0 with DOI 10.5281/zenodo.7628465.
DOI: 10.6084/m9.figshare.22085975
title: Harpadon nehereus data

description: Harpadon nehereus data
DOI: 10.6084/m9.figshare.22085975.v1
title: Harpadon nehereus data

description: Harpadon nehereus data
DOI: 10.5281/zenodo.7634983
title: PAH content in soil under shrubs influence

description: The file contains data on the content of PAH in soils under the influence of various species of shrubs in pine stands. The data covers different genetic horizons.
DOI: 10.5281/zenodo.7634982
title: PAH content in soil under shrubs influence

description: The file contains data on the content of PAH in soils under the influence of various species of shrubs in pine stands. The data covers different genetic horizons.
DOI: 10.5281/zenodo.6491334
title: List of lexemes with bilabial trills in the languages of Malekula Island in Vanuatu

description: This is a tab separated value file (.tsv) of examples of lexemes with bilabial trills from languages of Malekula Island in Vanuatu. Each lexeme is linked to a language name, Glottocode, the type of trill that is found in the lexeme, a gloss, source, and in some cases, an additional note. This file constitutes Appendix B of the article: <strong>Rangelov, Tihomir & Mary Walworth & Julie Barbour. 2023. <em>A multifaceted approach to understanding unexpected sound change: The bilabial trills of Vanuatu’s Malekula Island</em>. Diachronica. </strong>https://doi.org/10.1075/dia.21051.ran This database contains: •1349 words from 23 Malekula languages •1272 examples of ᵐʙ •77 examples of ᴩ (ʙ̥) UTF-8 encoding. ᴩ stands for plain voiceless bilabial trill [ʙ̥]. Morpheme boundaries are marked by an n-dash (-). VV = Vanuatu Voices. A list of references can be found in the article. The spelling of the original words has been modified here as much as possible to be closer to IPA: prenasalization and labialization are marked as superscripts, j has been changed to tʃ, etc. This list was curated by Tihomir Rangelov. Some unpublished data were provided by their authors, as indicated. This version of the database as of 26 APRIL 2022.
DOI: 10.5281/zenodo.6491333
title: List of lexemes with bilabial trills in the languages of Malekula Island in Vanuatu

description: This is a tab separated value file (.tsv) of examples of lexemes with bilabial trills from languages of Malekula Island in Vanuatu. Each lexeme is linked to a language name, Glottocode, the type of trill that is found in the lexeme, a gloss, source, and in some cases, an additional note. This file constitutes Appendix B of the article: <strong>Rangelov, Tihomir & Mary Walworth & Julie Barbour. 2023. <em>A multifaceted approach to understanding unexpected sound change: The bilabial trills of Vanuatu’s Malekula Island</em>. Diachronica. </strong>https://doi.org/10.1075/dia.21051.ran This database contains: •1349 words from 23 Malekula languages •1272 examples of ᵐʙ •77 examples of ᴩ (ʙ̥) UTF-8 encoding. ᴩ stands for plain voiceless bilabial trill [ʙ̥]. Morpheme boundaries are marked by an n-dash (-). VV = Vanuatu Voices. A list of references can be found in the article. The spelling of the original words has been modified here as much as possible to be closer to IPA: prenasalization and labialization are marked as superscripts, j has been changed to tʃ, etc. This list was curated by Tihomir Rangelov. Some unpublished data were provided by their authors, as indicated. This version of the database as of 26 APRIL 2022.
DOI: 10.6084/m9.figshare.20079200
title: Transgression map

description: Data and code for Figure 3 of Earth Commission synthesis paper
DOI: 10.34620/dadosipb/7mszme
title: Base de dados LuMont

description: Informação mantida na BD LuMont
DOI: 10.5281/zenodo.5551287
title: Body site-typical microbiome signatures

description: Using the curatedMetagenomicData Biocondutor package (&gt;=3.0.0): we identified taxa that have relative abundance &gt; 0 in at least 50% of (healthy control) samples for each body site and for species/genus levels.
DOI: 10.5281/zenodo.5551286
title: DEPRECATED body site-typical microbiome signatures - please see https://doi.org/10.5281/zenodo.7544549 for all future versions

description: <strong>DEPRECATED</strong> - this record is no longer being updated. Please see https://doi.org/10.5281/zenodo.7544549 for all future versions. Using the curatedMetagenomicData Bioconductor package (3.2.1) we calculated taxa prevalence of healthy control samples for each body site, at species and genus taxonomic levels, stratified by adult and child.
description: https://doi.org/10.5281/zenodo.7544549
DOI: 10.5281/zenodo.5565690
title: Body site-typical microbiome signatures

description: Using the curatedMetagenomicData Biocondutor package (&gt;=3.2.1): we calculated taxa prevalence of healthy control samples for each body site and at species/genus levels stratified by adult and child.
description: https://github.com/haoyanzh/TypicalMicrobiomeSignatures
DOI: 10.5281/zenodo.6342450
title: Body site-typical microbiome signatures

description: Using the curatedMetagenomicData Biocondutor package (&gt;=3.2.1): we calculated taxa prevalence of healthy control samples for each body site and at species/genus levels stratified by adult and child.
description: https://github.com/haoyanzh/TypicalMicrobiomeSignatures
DOI: 10.5281/zenodo.6656514
title: Body site-typical microbiome signatures

description: Using the curatedMetagenomicData Biocondutor package (&gt;=3.2.1): we calculated taxa prevalence of healthy control samples for each body site and at species/genus levels stratified by adult and child.
description: https://github.com/haoyanzh/TypicalMicrobiomeSignatures
DOI: 10.5281/zenodo.7544984
title: Body site-typical microbiome signatures

description: <strong>DEPRECATED</strong> - this record is no longer being updated. Please see https://doi.org/10.5281/zenodo.7544549 for all future versions. Using the curatedMetagenomicData Bioconductor package (3.2.1) we calculated taxa prevalence of healthy control samples for each body site, at species and genus taxonomic levels, stratified by adult and child.
description: https://doi.org/10.5281/zenodo.7544549
DOI: 10.5281/zenodo.7635250
title: DEPRECATED body site-typical microbiome signatures - please see https://doi.org/10.5281/zenodo.7544549 for all future versions

description: <strong>DEPRECATED</strong> - this record is no longer being updated. Please see https://doi.org/10.5281/zenodo.7544549 for all future versions. Using the curatedMetagenomicData Bioconductor package (3.2.1) we calculated taxa prevalence of healthy control samples for each body site, at species and genus taxonomic levels, stratified by adult and child.
description: https://doi.org/10.5281/zenodo.7544549