cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7468009
title: Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors

description: This repository contains the data used in the corresponding study: Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors <strong>Abstract</strong> Piezoresponse force microscopy (PFM) is routinely used to probe the nanoscale electromechanical response of ferroelectric and piezoelectric materials. However, many challenges remain in the interpretation of the recovered signal. Specifically, many non-ferroelectric contributions affect the measured response, ranging from electrostatics, to charge injection and trapping, and topographic cross-talk. Recently, machine learning (ML) has been utilized to identify multiple contributors within complex data systems, such as PFM response. A substantial advancement in ML approaches for PFM techniques is offered by dimensional stacking, enabling encoding of physical and/or chemical correlations within the materials’ response across different data dimensions spanning varying ranges. However, dimensional stacking requires appropriate scaling for each dimension (before ML analysis) to minimize undesired information loss. Here, the impact of clustering globally and locally scaled parameters in polarization switching experiments via resonant PFM (RPFM) are discussed. Specifically, dimensional stacking of scaled parameters can mask or enhance ferroelectric and non-ferroelectric behaviors, and aid identification of various physical phenomena contributing to the measured RPFM response. This study highlights the importance of data curation for ML, and its role in identifying signal contributors to scanning probe microscopy (SPM)-based techniques with multidimensional data, such as resonant and/or spectroscopic SPM.
description: The Jupyter notebook discussing the analyses of this study are available on the SMART Lab GitHub account (https://github.com/SmartLabGaTech/Data-Curation-for-PFM-Contributors).
DOI: 10.5281/zenodo.7468008
title: Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors

description: This repository contains the data used in the corresponding study: Mask or Enhance: Data Curation Aiding the Discovery of Piezoresponse Force Microscopy Contributors <strong>Abstract</strong> Piezoresponse force microscopy (PFM) is routinely used to probe the nanoscale electromechanical response of ferroelectric and piezoelectric materials. However, many challenges remain in the interpretation of the recovered signal. Specifically, many non-ferroelectric contributions affect the measured response, ranging from electrostatics, to charge injection and trapping, and topographic cross-talk. Recently, machine learning (ML) has been utilized to identify multiple contributors within complex data systems, such as PFM response. A substantial advancement in ML approaches for PFM techniques is offered by dimensional stacking, enabling encoding of physical and/or chemical correlations within the materials’ response across different data dimensions spanning varying ranges. However, dimensional stacking requires appropriate scaling for each dimension (before ML analysis) to minimize undesired information loss. Here, the impact of clustering globally and locally scaled parameters in polarization switching experiments via resonant PFM (RPFM) are discussed. Specifically, dimensional stacking of scaled parameters can mask or enhance ferroelectric and non-ferroelectric behaviors, and aid identification of various physical phenomena contributing to the measured RPFM response. This study highlights the importance of data curation for ML, and its role in identifying signal contributors to scanning probe microscopy (SPM)-based techniques with multidimensional data, such as resonant and/or spectroscopic SPM.
description: The Jupyter notebook discussing the analyses of this study are available on the SMART Lab GitHub account (https://github.com/SmartLabGaTech/Data-Curation-for-PFM-Contributors).
DOI: 10.6084/m9.figshare.21640281
title: Multi-instrument assessment of fine and ultrafine titanium dioxide aerosols

description: The measurement of fine (diameter: 100 nanometers–2.5 micrometers) and ultrafine (UF: &lt; 100 nanometers) titanium dioxide (TiO<sub>2</sub>) particles is instrument dependent. Differences in measurements exist between toxicological and field investigations for the same exposure metric such as mass, number, or surface area because of variations in instruments used, operating parameters, or particle-size measurement ranges. Without appropriate comparison, instrument measurements create a disconnect between toxicological and field investigations for a given exposure metric. Our objective was to compare a variety of instruments including multiple metrics including mass, number, and surface area (SA) concentrations for assessing different concentrations of separately aerosolized fine and UF TiO<sub>2</sub> particles. The instruments studied were (1) DustTrak™ DRX, (2) personal DataRAMs™ (PDR), (3) GRIMM<sup>TM</sup>, and (4) diffusion charger (DC). Two devices of each field-study instrument (DRX, PDR, GRIMM, and DC) were used to measure various metrics while adjusting for gravimetric mass concentrations of fine and UF TiO<sub>2</sub> particles in controlled chamber tests. An analysis of variance (ANOVA) was used to apportion the variance to inter-instrument (between different instrument-types), inter-device (within instrument), and intra-device components. Performance of each instrument-device was calculated using root mean squared error compared to reference methods: close-faced cassette and gravimetric analysis for mass and scanning mobility particle sizer (SMPS) real-time monitoring for number and SA concentrations. Generally, inter-instrument variability accounted for the greatest (62.6% or more) source of variance for mass, and SA-based concentrations of fine and UF TiO<sub>2</sub> particles. However, higher intra-device variability (53.7%) was observed for number concentrations measurements with fine particles compared to inter-instrument variability (40.8%). Inter-device variance range(0.5–5.5%) was similar for all exposure metrics. DRX performed better in measuring mass closer to gravimetric than PDRs for fine and UF TiO<sub>2</sub>. Number concentrations measured by GRIMMs and SA measurements by DCs were considerably (40.8–86.9%) different from the reference (SMPS) method for comparable size ranges of fine and UF TiO<sub>2</sub>. This information may serve to aid in interpreting assessments in risk models, epidemiologic studies, and development of occupational exposure limits, relating to health effect endpoints identified in toxicological studies considering similar instruments evaluated in this study.
DOI: 10.6084/m9.figshare.21640281.v1
title: Multi-instrument assessment of fine and ultrafine titanium dioxide aerosols

description: The measurement of fine (diameter: 100 nanometers–2.5 micrometers) and ultrafine (UF: &lt; 100 nanometers) titanium dioxide (TiO<sub>2</sub>) particles is instrument dependent. Differences in measurements exist between toxicological and field investigations for the same exposure metric such as mass, number, or surface area because of variations in instruments used, operating parameters, or particle-size measurement ranges. Without appropriate comparison, instrument measurements create a disconnect between toxicological and field investigations for a given exposure metric. Our objective was to compare a variety of instruments including multiple metrics including mass, number, and surface area (SA) concentrations for assessing different concentrations of separately aerosolized fine and UF TiO<sub>2</sub> particles. The instruments studied were (1) DustTrak™ DRX, (2) personal DataRAMs™ (PDR), (3) GRIMM<sup>TM</sup>, and (4) diffusion charger (DC). Two devices of each field-study instrument (DRX, PDR, GRIMM, and DC) were used to measure various metrics while adjusting for gravimetric mass concentrations of fine and UF TiO<sub>2</sub> particles in controlled chamber tests. An analysis of variance (ANOVA) was used to apportion the variance to inter-instrument (between different instrument-types), inter-device (within instrument), and intra-device components. Performance of each instrument-device was calculated using root mean squared error compared to reference methods: close-faced cassette and gravimetric analysis for mass and scanning mobility particle sizer (SMPS) real-time monitoring for number and SA concentrations. Generally, inter-instrument variability accounted for the greatest (62.6% or more) source of variance for mass, and SA-based concentrations of fine and UF TiO<sub>2</sub> particles. However, higher intra-device variability (53.7%) was observed for number concentrations measurements with fine particles compared to inter-instrument variability (40.8%). Inter-device variance range(0.5–5.5%) was similar for all exposure metrics. DRX performed better in measuring mass closer to gravimetric than PDRs for fine and UF TiO<sub>2</sub>. Number concentrations measured by GRIMMs and SA measurements by DCs were considerably (40.8–86.9%) different from the reference (SMPS) method for comparable size ranges of fine and UF TiO<sub>2</sub>. This information may serve to aid in interpreting assessments in risk models, epidemiologic studies, and development of occupational exposure limits, relating to health effect endpoints identified in toxicological studies considering similar instruments evaluated in this study.
DOI: 10.6084/m9.figshare.12151932.v6
title: Thoughtography

description: Data and materials related to the project <strong>"Thoughtography". See the paper "A pilot study of distant mind-matter interaction with digital photography". Journal of Parapsychology, 2022, 86,1, 125-134.</strong> <br> - SSIMTot.xlsx = SSIM values related to all<strong> </strong>images; values in red= highest SSIM corresponding to the intended target; values in bold= SSIM corresponding to the intended target;<br> <br> - SSIM_N<strong>o</strong>LumTargets.zip<strong>=</strong>pictures of the targets with highest SSIM values with all SSIM parameters, but Luminance;<strong><br> </strong> <br> -Targets.zip = original targets<strong> </strong>to be reproduced<strong>.<br> </strong> <br> <strong>-</strong>TIMER-TRIGGER UNIT.doc = layout for the construction of the timer-trigger of the camera<br>
DOI: 10.6084/m9.figshare.21763535
title: A public dataset of women's DNA methylation values after 14 weeks of physical exercise

description: These data are from a prospective longitudinal study with the aim of investigating whether physical training would modify the whole blood methylation profile in healthy women. A total of 45 subjects were enrolled in a physical training protocol during a 14-week follow-up, consisting of aerobic cardiorespiratory and muscular strength exercises in the same session. The participants were evaluated at baseline, after 7 weeks and after 14 weeks, using the infinium methylation beadchip 850k technology. This study was approved by the Research Ethics Committee from the School of Physical Education and Sport of Ribeirão Preto at the University of Sao Paulo (protocol: 79582817.0.0000.5656) and registered in the Brazilian Registry of Clinical Trials (code RBR-3g38dx).
DOI: 10.5255/ukda-sn-852902
title: Sustainable Poverty Alleviation From Coastal Ecosystem Services: Household Survey in Kenya and Mozambique, 2013-2017

description: The objective of this research was to elicit data required for a quantitative assessment of the contribution of ecosystem services to wellbeing of the poor through a large standardized household survey administered to individuals.The survey was conducted in Kenya and Mozambique. The household survey aimed to sample a total of 1,200 household (600 household per country) and interview up to three people per household. The three respondents included the household head, spouse and a third randomly selected person in order to collect data on individual (i.e.) sub household access to ES.
DOI: 10.5281/zenodo.7463111
title: Is there a species swarm paradox? Spatial segregation of related species in the understory of a tropical plant community

description: In tropical forests, some highly diverse angiosperm families occur in aggregates of related species that constitute a species swarm. This spatial aggregation seems paradoxical since related species should segregate in space due to expected ecological similarities. We found that Rubiaceae species segregate from each other. The swarm is not paradoxical because species occupy different microhabitats in the forest understory. (Published in Journal Vegetation Science; Funded by Fundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES). If you have any query, write to: karinnasantos0@gmail.com
DOI: 10.5281/zenodo.7463110
title: Is there a species swarm paradox? Spatial segregation of related species in the understory of a tropical plant community

description: In tropical forests, some highly diverse angiosperm families occur in aggregates of related species that constitute a species swarm. This spatial aggregation seems paradoxical since related species should segregate in space due to expected ecological similarities. We found that Rubiaceae species segregate from each other. The swarm is not paradoxical because species occupy different microhabitats in the forest understory. (Published in Journal Vegetation Science; Funded by Fundação de Amparo à Pesquisa e Inovação do Espírito Santo, FAPES). If you have any query, write to: karinnasantos0@gmail.com
DOI: 10.34740/kaggle/ds/2751150
title: Understanding Career Aspirations of GenZ
DOI: 10.5281/zenodo.7468327
title: aliby basic test

description: Minimal set of images for automated testing of ALIBY. Compressed into a tar file
DOI: 10.5281/zenodo.7468326
title: aliby basic test

description: Minimal set of images for automated testing of ALIBY. Compressed into a tar file
DOI: 10.5281/zenodo.7468403
title: acanthurus_coeruleus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7468402
title: acanthurus_coeruleus_decontaminated_gx.fasta.gz

description: .
DOI: 10.11588/data/xahrig/2yh2bd
title: 06_Hamerow_Supplementary table_EAS_JH.csv

description: :unav
DOI: 10.11588/data/xahrig/vnmiep
title: 06_Hamerow_Supplementary table_EAS_JH.tab

description: :unav
DOI: 10.25318/9810053501-eng
title: Eligibility for instruction in the minority official language by age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on eligibility for instruction in the minority official language, age and gender for the population of children in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.
DOI: 10.35077/ace-fin
title: Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 992386355

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 992386355', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H19.28.018', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'68.0', Ageunit:'years', Sex:'Male', OrganName:'Brain', SampleLocalID:'992386355.0', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24526', Locations:'FroL' INSTRUMENT METADATA: MicroscopeType:'Brightfield', MicroscopeManufacturerAndModel:'Zeiss AxioImager Z2 microscope', ObjectiveImmersion:'Oil' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.11588/data/xahrig
title: Zugehörige Daten zu: The ‘cerealisation’ of the Rhineland: Extensification, crop rotation and the medieval ‘agricultural revolution’ in the longue durée

description: The supplemental table provides the lab identification code (ID) of each isotopic sample. It also provides information about the archaeological site, date, crop taxa and number of grains analysed for each isotopic sample, as well as their %C, %N, δ13C and δ15N values.
DOI: 10.5517/ccdc.csd.cc27x4jv
title: CCDC 2082627: Experimental Crystal Structure Determination

description: Related Article: Zheng Cui, Xiang Gao, Yue-Jian Lin, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|2379|doi:10.1021/jacs.1c13168
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.cc296q4d
title: CCDC 2121613: Experimental Crystal Structure Determination

description: Related Article: Zheng Cui, Xiang Gao, Yue-Jian Lin, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|2379|doi:10.1021/jacs.1c13168
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: 10.25318/9810053401-eng
title: Eligibility for instruction in the minority official language by age and gender: Canada, provinces and territories, census divisions and census subdivisions

description: Data on eligibility for instruction in the minority official language, age and gender for the population of children in private households in Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25505/fiz.icsd.cc29w6kz
title: CSD 2141311: Experimental Crystal Structure Determination

description: Related Article: Q. Hu, B. Wen, C. Fan|2022|IUCrData|7|x220038|doi:10.1107/S2414314622000384
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29wmys
title: CSD 2141726: Experimental Crystal Structure Determination

description: Related Article: H. Morito, T. Ikeda, Y. Katsura, H. Yamane|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|203|doi:10.1107/S2056989022000494
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29ld4g
title: CCDC 2132835: Experimental Crystal Structure Determination

description: Related Article: Si Liu, Zhanglang Zhou, Jing Fang, Min Wang, Hao Zong, Weinan Chen, Gang Zhou|2022|Org.Chem.Front.|10|54|doi:10.1039/D2QO01732F
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.cc29ld6j
title: CCDC 2132837: Experimental Crystal Structure Determination

description: Related Article: Si Liu, Zhanglang Zhou, Jing Fang, Min Wang, Hao Zong, Weinan Chen, Gang Zhou|2022|Org.Chem.Front.|10|54|doi:10.1039/D2QO01732F
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: 10.25505/fiz.icsd.cc29xkxq
title: CSD 2142624: Experimental Crystal Structure Determination

description: Related Article: katharina.hogrefe|2022|ICSD Communication|||
description: Related Article: Katharina Hogrefe, Nicolò Minafra, Isabel Hanghofer, Ananya Banik, Wolfgang G. Zeier, H. Martin R. Wilkening|2022|J.Am.Chem.Soc.|144|1795|doi:10.1021/jacs.1c11571
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc29xkzs
title: CSD 2142626: Experimental Crystal Structure Determination

description: Related Article: katharina.hogrefe|2022|ICSD Communication|||
description: Related Article: Katharina Hogrefe, Nicolò Minafra, Isabel Hanghofer, Ananya Banik, Wolfgang G. Zeier, H. Martin R. Wilkening|2022|J.Am.Chem.Soc.|144|1795|doi:10.1021/jacs.1c11571
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29xs56
title: CCDC 2142818: Experimental Crystal Structure Determination

description: Related Article: Zhe Feng, Jie-Jie Ling, Huijie Song, Dunru Zhu|2022|Inorg.Chem.Front.|10|305|doi:10.1039/D2QI01873J
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.