cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7034744
title: Aeolian saltation fieldwork: values for size-selective transport measurements

description: This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2): <strong>“d_lower_mm”</strong> – Lower limit diameter for each particle size bin [mm]. <strong>“d_mid_mm”</strong> – Midpoint diameter for each particle size bin [mm]. <strong>“d_upper_mm”</strong> – Upper limit diameter for each particle size bin [mm]. <strong>“dVdlnd_bed”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for surface samples, \(\frac{dV_{bed}}{d\ln(d)}\). The field measurements from which these values were calculated are described in Martin and Kok (2017). <strong>“dVdlnd_air”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, \(\frac{dV_{air}}{d\ln(d)}\). Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, conditioned on each non-dimensionalized shear stress range, \(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\). Cases in which a PSD is lacking for a shear stress range are marked as “NaN”: <strong>“dVdlnd_air_taunorm_below_10”</strong> – for \(\tau/\tau_{it} \leq 1.0\) <strong>“dVdlnd_air_taunorm_10_15”</strong> – for \(1.0 &lt; \tau/\tau_{it} \leq 1.5\) <strong>“dVdlnd_air_taunorm_15_22</strong>” – for \(1.5 &lt; \tau/\tau_{it} \leq 2.2\) <strong>“dVdlnd_air_taunorm_22_30”</strong> – for \(2.2 &lt; \tau/\tau_{it} \leq 3.0\) <strong>“dVdlnd_air_taunorm_30_40”</strong> – for \(3.0 &lt; \tau/\tau_{it} \leq 4.0\) <strong>“f_bed”</strong> – Fraction of bed surface particles in size bin <em>i</em>, \(f_{bed,i}\). Fraction is computed only for bins with particle diameter <em>d</em> &gt; 1.3 mm. Bins below this value are marked as “NaN”. <strong>“f_air_bar”</strong> – Mean fraction of airborne particles in size bin <em>i</em>, \(\langle f_{air,i} \rangle\). Fraction is computed only for bins with particle diameter <em>d </em>&gt; 1.3 mm. Bins below this value are marked as “NaN”. <strong>“f_air_sigma”</strong> – Uncertainty on mean fraction of airborne particles in size bin <em>i</em>, \(\sigma_{\langle f_{air,i} \rangle}\). “NaN” values correspond to undefined values for f_air_bar. The Matlab file (‘GrainSizeData.mat’) includes further raw data, including number-based size distributions for individual samples.
description: {"references": ["Martin, R. L. and J. F. Kok (2017), Equal susceptibility and size-selective mobility in aeolian saltation (article in review)"]}
DOI: 10.5281/zenodo.835200
title: Aeolian saltation fieldwork: values for size-selective transport measurements

description: This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2): <strong>“d_lower_mm”</strong> – Lower limit diameter for each particle size bin [mm]. <strong>“d_mid_mm”</strong> – Midpoint diameter for each particle size bin [mm]. <strong>“d_upper_mm”</strong> – Upper limit diameter for each particle size bin [mm]. <strong>“dVdlnd_bed”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for surface samples, \(\frac{dV_{bed}}{d\ln(d)}\). The field measurements from which these values were calculated are described in Martin and Kok (2017). <strong>“dVdlnd_air”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, \(\frac{dV_{air}}{d\ln(d)}\). Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, conditioned on each non-dimensionalized shear stress range, \(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\). Cases in which a PSD is lacking for a shear stress range are marked as “NaN”: <strong>“dVdlnd_air_taunorm_below_10”</strong> – for \(\tau/\tau_{it} \leq 1.0\) <strong>“dVdlnd_air_taunorm_10_15”</strong> – for \(1.0 &lt; \tau/\tau_{it} \leq 1.5\) <strong>“dVdlnd_air_taunorm_15_22</strong>” – for \(1.5 &lt; \tau/\tau_{it} \leq 2.2\) <strong>“dVdlnd_air_taunorm_22_30”</strong> – for \(2.2 &lt; \tau/\tau_{it} \leq 3.0\) <strong>“dVdlnd_air_taunorm_30_40”</strong> – for \(3.0 &lt; \tau/\tau_{it} \leq 4.0\) <strong>“f_bed”</strong> – Fraction of bed surface particles in size bin <em>i</em>, \(f_{bed,i}\). Fraction is computed only for bins with particle diameter <em>d</em> &gt; 1.3 mm. Bins below this value are marked as “NaN”. <strong>“f_air_bar”</strong> – Mean fraction of airborne particles in size bin <em>i</em>, \(\langle f_{air,i} \rangle\). Fraction is computed only for bins with particle diameter <em>d </em>&gt; 1.3 mm. Bins below this value are marked as “NaN”. <strong>“f_air_sigma”</strong> – Uncertainty on mean fraction of airborne particles in size bin <em>i</em>, \(\sigma_{\langle f_{air,i} \rangle}\). “NaN” values correspond to undefined values for f_air_bar. The Matlab file (‘GrainSizeData.mat’) includes further raw data, including number-based size distributions for individual samples.
description: {"references": ["Martin, R. L. and J. F. Kok (2017), Equal susceptibility and size-selective mobility in aeolian saltation (article in review)"]}
DOI: 10.5281/zenodo.835201
title: Aeolian Saltation Fieldwork: Values For Size-Selective Transport Measurements

description: This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2):


	<strong>“d_lower_mm”</strong> – Lower limit diameter for each particle size bin [mm].
	<strong>“d_mid_mm”</strong> – Midpoint diameter for each particle size bin [mm].
	<strong>“d_upper_mm”</strong> – Upper limit diameter for each particle size bin [mm].
	<strong>“dVdlnd_bed”</strong> – Site-averaged normalized volume fraction in each size bin for surface samples, \(\frac{dV_{bed}}{d\ln(d)}\).


The field measurements from which these values were calculated are described in Martin and Kok (2017).


	<strong>“dVdlnd_air”</strong> – Site-averaged normalized volume fraction in each size bin for airborne samples, \(\frac{dV_{air}}{d\ln(d)}\).
	Site-averaged normalized volume fraction in each size bin for airborne samples, conditioned on each normalized shear stress range, \(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\). Cases in which a PSD is lacking for a shear stress range are marked as “NaN”:
	
		<strong>“dVdlnd_air_taunorm_below_10”</strong> – for \(\tau/\tau_{it} \leq 1.0\)
		<strong>“dVdlnd_air_taunorm_10_15”</strong> – for \(1.0 &lt; \tau/\tau_{it} \leq 1.5\)
		<strong>“dVdlnd_air_taunorm_15_22</strong>” – for \(1.5 &lt; \tau/\tau_{it} \leq 2.2\)
		<strong>“dVdlnd_air_taunorm_22_30”</strong> – for \(2.2 &lt; \tau/\tau_{it} \leq 3.0\)
		<strong>“dVdlnd_air_taunorm_30_40”</strong> – for \(3.0 &lt; \tau/\tau_{it} \leq 4.0\)
	
	
	<strong>“f_bed”</strong> – Fraction of bed surface particles in size bin <em>i</em>, \(f_{bed,i}\). Fraction is computed only for bins with particle diameter <em>d</em> &gt; 1.3 mm. Bins below this value are marked as “NaN”.
	<strong>“f_air_bar”</strong> – Mean fraction of airborne particles in size bin <em>i</em>, \(\langle f_{air,i} \rangle\). Fraction is computed only for bins with particle diameter <em>d </em>&gt; 1.3 mm. Bins below this value are marked as “NaN”.
	<strong>“f_air_sigma”</strong> – Uncertainty on mean fraction of airborne particles in size bin <em>i</em>, \(\sigma_{\langle f_{air,i} \rangle}\). “NaN” values correspond to undefined values for f_air_bar.
	<strong>“zqi_air_bar”</strong> – Mean size-selective saltation layer height for size bin <em>i</em>, \(\langle z_{q,i} \rangle\). Fraction is computed only for bins with particle diameter <em>d</em> &gt; 1.3 mm. Bins below this value, as well as bins for which insufficient well-fit \(z_{q,i}\) are available for computation of mean, are marked as “NaN”.
	<strong>“zqi_air_sigma”</strong> – Uncertainty in mean size-selective saltation height for size bin <em>i</em>, \(\sigma_{\langle z_{q,i} \rangle}\). “NaN” values correspond to undefined values for zqi_air_bar.
description: {"references": ["Martin, R. L. and J. F. Kok (2017), Equal susceptibility and size-selective mobility in aeolian saltation (article in review)"]}
DOI: 10.21410/7e4/vbysfx
title: Replication Data for: Fonds Vincent Gay

description: Le fonds d'archive se compose d'enquêtes et documents annexes produits par Vincent Gay, maitre de conférences à l’Université de Paris et membre du LCSP, dans la réalisation de sa thèse de doctorat, sous la direction de Nicolas Hatzfeld et de Stéphane Beaud (Université Paris-Saclay), entre 2011 et 2016. Dans le cadre de ce travail, qui porte sur les conflits sociaux parmi les travailleurs immigrés dans deux entreprises au début des années 1980, ont été réalisés 80 entretiens, pour la plupart individuels.
DOI: 10.6084/m9.figshare.19328601
title: Urban Agglomerations and Wage and Self-employment Jobs in Ethiopia

description: Agglomeration effects on the workers’ and firms’ productivity in developed countries are widely confirmed by previous studies, while empirical evidence for developing countries is still limited. This paper sheds light on another urban productivity factor that is particularly important for developing countries: self-employment and wage jobs. The transition from the economy dominated by the former to the one by the latter is a key to economic development. This study examines how urban agglomerations are linked to the mix of self-employment and wage jobs by focusing on one of the least urbanized low-income countries: Ethiopia. Applying an instrumental variable approach to worker-level cross-sectional data, the analysis finds a negative link between town population size and the share of self-employment workers: a log increase in town population size lowers the probability of engaging in self-employment by 7.9 percentage points. Particularly female, young, and less-educated workers are more likely to work with wage jobs in larger towns. The findings suggest a crucial link between urban agglomerations and employment modes in the developing world.
DOI: 10.6084/m9.figshare.19328601.v1
title: Urban Agglomerations and Wage and Self-employment Jobs in Ethiopia

description: Agglomeration effects on the workers’ and firms’ productivity in developed countries are widely confirmed by previous studies, while empirical evidence for developing countries is still limited. This paper sheds light on another urban productivity factor that is particularly important for developing countries: self-employment and wage jobs. The transition from the economy dominated by the former to the one by the latter is a key to economic development. This study examines how urban agglomerations are linked to the mix of self-employment and wage jobs by focusing on one of the least urbanized low-income countries: Ethiopia. Applying an instrumental variable approach to worker-level cross-sectional data, the analysis finds a negative link between town population size and the share of self-employment workers: a log increase in town population size lowers the probability of engaging in self-employment by 7.9 percentage points. Particularly female, young, and less-educated workers are more likely to work with wage jobs in larger towns. The findings suggest a crucial link between urban agglomerations and employment modes in the developing world.
DOI: 10.6084/m9.figshare.19612951
title: Inequality of Opportunity in Mexico and its Regions: A Data-Driven Approach

description: This research proposes a first approximation of Inequality of Opportunity (IOp) in Mexico based on a concept of ex-post compensation, fully consistent with Roemer’s approach. This framework considers the advantage reached by an individual to be determined by the circumstances and by the effort exerted. Following Brunori and Neidhöfer, we construct a data-driven procedure using regression trees to identify types based on circumstances. To identify effort, an algorithm estimates the distribution of outcome in each type based on coefficients of Bernstein polynomials. We present IOp indicators for both an ex-ante and an ex-post approach. Our results underline the differences, in terms of opportunities, faced by individuals, based on the territory in which they grew up, the household context, and personal characteristics. The education and the wealth of parents, and the area of residence at age of 14 are the principal circumstances that shape the trajectories, besides the skin tone or the region. Importantly, territorial variables are significant among the individuals in relative poor households at age of 14, but they hold less importance for the others. IOp is higher in rural areas, in the South and in the Center compared to other regions.
DOI: 10.6084/m9.figshare.19612951.v2
title: Inequality of Opportunity in Mexico and its Regions: A Data-Driven Approach

description: This research proposes a first approximation of Inequality of Opportunity (IOp) in Mexico based on a concept of ex-post compensation, fully consistent with Roemer’s approach. This framework considers the advantage reached by an individual to be determined by the circumstances and by the effort exerted. Following Brunori and Neidhöfer, we construct a data-driven procedure using regression trees to identify types based on circumstances. To identify effort, an algorithm estimates the distribution of outcome in each type based on coefficients of Bernstein polynomials. We present IOp indicators for both an ex-ante and an ex-post approach. Our results underline the differences, in terms of opportunities, faced by individuals, based on the territory in which they grew up, the household context, and personal characteristics. The education and the wealth of parents, and the area of residence at age of 14 are the principal circumstances that shape the trajectories, besides the skin tone or the region. Importantly, territorial variables are significant among the individuals in relative poor households at age of 14, but they hold less importance for the others. IOp is higher in rural areas, in the South and in the Center compared to other regions.
DOI: 10.6084/m9.figshare.20459874
title: Risk Compensation and HIV Therapy: A Field Experiment in South Africa

description: Risk compensation—the phenomenon positing that people adjust their risky behaviours in response to changes in perceived risks—could have the adverse effect of worsening health outcomes. Consequently, understanding potential behavioural responses is critical for designing effective public policies. This study examines the relationship between improved human immunodeficiency virus (HIV) therapy and subsequent risky sexual behaviour. Using a field experiment in South Africa, I estimate the causal effects of improved HIV therapy adherence on subsequent risky sexual behaviour among HIV-positive patients. I find that access to HIV therapy induces a substantial increase in the demand for unsafe sex.
DOI: 10.6084/m9.figshare.20459874.v1
title: Risk Compensation and HIV Therapy: A Field Experiment in South Africa

description: Risk compensation—the phenomenon positing that people adjust their risky behaviours in response to changes in perceived risks—could have the adverse effect of worsening health outcomes. Consequently, understanding potential behavioural responses is critical for designing effective public policies. This study examines the relationship between improved human immunodeficiency virus (HIV) therapy and subsequent risky sexual behaviour. Using a field experiment in South Africa, I estimate the causal effects of improved HIV therapy adherence on subsequent risky sexual behaviour among HIV-positive patients. I find that access to HIV therapy induces a substantial increase in the demand for unsafe sex.
DOI: 10.6084/m9.figshare.20731066
title: Confidence interval calculations for FMD seroprevalence in Rwanda

description: This dataset describes the calculations of the seroprevalence of FMD in Rwanda
DOI: 10.6084/m9.figshare.20731066.v1
title: Confidence interval calculations for FMD seroprevalence in Rwanda

description: This dataset describes the calculations of the seroprevalence of FMD in Rwanda
DOI: 10.5281/zenodo.7034636
title: Revisiting Machine Learning based Test Case Prioritization for Continuous Integration

description: Deleted version
DOI: 10.6084/m9.figshare.20433141
title: Raw Responses Questionnaire

description: Raw responses
DOI: 10.6084/m9.figshare.20433141.v2
title: Raw Responses Questionnaire

description: Raw responses
DOI: 10.34740/kaggle/dsv/4139162
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.20731405
title: Life satisfaction

description: article
DOI: 10.6084/m9.figshare.20731405.v1
title: Life satisfaction

description: article
DOI: 10.6084/m9.figshare.20727436
title: Exploration of nurse emotions towards online learning in a post-COVID-19 world: an online survey.xlsx

description: The dataset sought to explore how nurses cope with online education in a post-COVID-19 world.
DOI: 10.6084/m9.figshare.20727436.v1
title: Exploration of nurse emotions towards online learning in a post-COVID-19 world: an online survey.xlsx

description: The dataset sought to explore how nurses cope with online education in a post-COVID-19 world.
DOI: 10.6084/m9.figshare.20730865.v1
title: buteo_lagopus_decontaminated_gx.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20730865
title: buteo_lagopus_decontaminated_gx.fasta.gz

description: .......
DOI: 10.5281/zenodo.7034816
title: Number of Attendees of Hungarian Open Science Forum Events, and Number of Visitors of KIFÜ Open Science Newsfeed

description: Number of attendees of Hungarian Open Science Forum events, which took place on 28/5/2021, 24/9/2021, 19/1/2022, and 28/4/2022. Number of visitors of KIFÜ open science newsfeed till 30/6/2022. Altogether 133 posts that were published between 5 May 2021 and 7 April 2022.
DOI: 10.5281/zenodo.7034815
title: Number of Attendees of Hungarian Open Science Forum Events, and Number of Visitors of KIFÜ Open Science Newsfeed

description: Number of attendees of Hungarian Open Science Forum events, which took place on 28/5/2021, 24/9/2021, 19/1/2022, and 28/4/2022. Number of visitors of KIFÜ open science newsfeed till 30/6/2022. Altogether 133 posts that were published between 5 May 2021 and 7 April 2022.
DOI: 10.6084/m9.figshare.20730955
title: buteogallus_meridionalis_decontaminated_gx.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20730955.v1
title: buteogallus_meridionalis_decontaminated_gx.fasta.gz

description: .......
DOI: 10.5281/zenodo.7542325
title: Microwell-Based Flow Culture Increases Viability and Restores Drug Response in Prostate Cancer Spheroids

description: Data files for main manuscript figures.
DOI: 10.6084/m9.figshare.21913590
title: Chloroplast genome assembly and annotation of 100 pomegranate (Punica granatum L.) genotypes

description: Here we reported complete chloroplast genomes of 100 pomegranate genotypes representing commercial cultivars, ornamental and wild types. The complete chloroplast genomes ranged in size from 158,618 bp to 158,655 bp .
DOI: 10.6084/m9.figshare.21913590.v1
title: Chloroplast genome assembly and annotation of 100 pomegranate (Punica granatum L.) genotypes

description: Here we reported complete chloroplast genomes of 100 pomegranate genotypes representing commercial cultivars, ornamental and wild types. The complete chloroplast genomes ranged in size from 158,618 bp to 158,655 bp .
DOI: 10.5519/qd.mosyeaag
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5416093 records)
DOI: 10.6084/m9.figshare.21913596.v1
title: Database_IFM_offset_projects_2020.gsheet

description: This is a database of all existing improved forest management (forest carbon) offset projects as of December 2020. The data was collected from publicly available registries from Climate Action Reserve and American Carbon Registry.
DOI: 10.6084/m9.figshare.21913596.v2
title: Database for existing improved forest management projects in CAR and ACR registries (Dec 2020)

description: This is a database of all existing improved forest management (forest carbon) offset projects as of December 2020. The data was collected from publicly available registries from Climate Action Reserve and American Carbon Registry.
DOI: 10.5517/ccdc.csd.cc2dc9nr
title: CCDC 2215404: Experimental Crystal Structure Determination

description: Related Article: Huifang Zhang, Ruofei Cheng, Zaozao Qiu, Zuowei Xie|2022|Chem.Commun.|59|740|doi:10.1039/D2CC05890A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dc9ps
title: CCDC 2215405: Experimental Crystal Structure Determination

description: Related Article: Huifang Zhang, Ruofei Cheng, Zaozao Qiu, Zuowei Xie|2022|Chem.Commun.|59|740|doi:10.1039/D2CC05890A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dc9qt
title: CCDC 2215406: Experimental Crystal Structure Determination

description: Related Article: Huifang Zhang, Ruofei Cheng, Zaozao Qiu, Zuowei Xie|2022|Chem.Commun.|59|740|doi:10.1039/D2CC05890A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dcrh1
title: CCDC 2215833: Experimental Crystal Structure Determination

description: Related Article: Anthony Labelle, Bruce A. Arndtsen|2022|Chem.Commun.|59|728|doi:10.1039/D2CC05924J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dd3db
title: CCDC 2216171: Experimental Crystal Structure Determination

description: Related Article: Zheng Tang, Chengdong Liu, Yan Zhang, Xiao-Peng Sun, Jun Tao, Zi-Shuo Yao|2022|Inorg.Chem.Front.|10|692|doi:10.1039/D2QI02371G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.