cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22297408
title: Supporting data: Light and fluorescence microscopy images of phase separation of NCAP+ ZnCl2+ S2hp in PBS, day 3, repeat 2

description: Supporting data: Light and fluorescence microscopy images of phase separation of NCAP+ ZnCl2+ S2hp in PBS, day 3, repeat 2
DOI: 10.6084/m9.figshare.22297408.v1
title: Supporting data: Light and fluorescence microscopy images of phase separation of NCAP+ ZnCl2+ S2hp in PBS, day 3, repeat 2

description: Supporting data: Light and fluorescence microscopy images of phase separation of NCAP+ ZnCl2+ S2hp in PBS, day 3, repeat 2
DOI: 10.6084/m9.figshare.22297414
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 1. Used for analysis in Figures 3b&C

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 1. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297414.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 1. Used for analysis in Figures 3b&C

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 1. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297417
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 2. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 2. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297417.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 2. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 2. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.20279767
title: Common resilience factors among healthy individuals exposed to chronic adversity: a systematic review

description: To identify common resilience factors against non-communicable diseases (dental caries, diabetes type II, obesity and cardiovascular disease) among healthy individuals exposed to chronic adversity. The databases MEDLINE (via PubMed), Scopus and CINAHL were searched. Observational studies in English assessing resilience factors among populations living in chronic adversity were included. Intervention studies, systematic reviews, non-original articles and qualitative studies were excluded. There were no restrictions regarding publication year or age. No meta-analysis could be done. Quality assessments were made with the Newcastle-Ottawa scale (NOS). A final total of 41 studies were included in this systematic review. The investigated health resilience factors were divided into the following domains: environmental (community and family) and individual (behavioural and psychosocial). A narrative synthesis of the results was made according to the domains. Individual psychosocial, family and environmental factors play a role as health resilience factors in populations living in chronic adversity. However, the inconclusive results suggest that these factors do not act in isolation but interplay in a complex manner and that their interaction may vary during the life course, in different contexts, and over time.
DOI: 10.6084/m9.figshare.20279767.v1
title: Common resilience factors among healthy individuals exposed to chronic adversity: a systematic review

description: To identify common resilience factors against non-communicable diseases (dental caries, diabetes type II, obesity and cardiovascular disease) among healthy individuals exposed to chronic adversity. The databases MEDLINE (via PubMed), Scopus and CINAHL were searched. Observational studies in English assessing resilience factors among populations living in chronic adversity were included. Intervention studies, systematic reviews, non-original articles and qualitative studies were excluded. There were no restrictions regarding publication year or age. No meta-analysis could be done. Quality assessments were made with the Newcastle-Ottawa scale (NOS). A final total of 41 studies were included in this systematic review. The investigated health resilience factors were divided into the following domains: environmental (community and family) and individual (behavioural and psychosocial). A narrative synthesis of the results was made according to the domains. Individual psychosocial, family and environmental factors play a role as health resilience factors in populations living in chronic adversity. However, the inconclusive results suggest that these factors do not act in isolation but interplay in a complex manner and that their interaction may vary during the life course, in different contexts, and over time.
DOI: 10.6084/m9.figshare.20946105
title: Saliva proteomic profile of early childhood caries and caries-free children

description: Saliva plays an important antimicrobial role and it is related to the pathogenesis of early childhood caries (ECC). The aim of this study was to compare the proteomic profile of unstimulated saliva of children aged 3–5 years who had ECC and caries-free (CF) children. After the saliva collection from 20 children (ECC: <i>n</i> = 10; CF: <i>n</i> = 10), the samples were processed for proteomic analysis on a mass spectrometer. 1638 proteins were identified, of which 355 were present in both groups. A total of 579 proteins were exclusively identified in the CF group and included Leucine-rich alpha-2-glycoprotein, Protein S100-A5, Protein S100-A8 and Mucin-2. Moreover, 704 proteins were exclusively identified in the ECC group, including Enamelin. The differential expression analysis revealed that 112 proteins were up-regulated in the CF group. Among these proteins, we highlighted Hemoglobin subunit gamma-1 (343-fold increase), gamma-2 (336-fold increase) and alpha (40-fold increase). The proteomic profile of the saliva varied substantially between the groups. Hemoglobin subunit gamma-1, gamma-2 and alpha may play a protective role in children with ECC. These proteins should be evaluated in future studies, because they may be possible good candidates to be included in anti-caries dental products.
DOI: 10.6084/m9.figshare.20946105.v1
title: Saliva proteomic profile of early childhood caries and caries-free children

description: Saliva plays an important antimicrobial role and it is related to the pathogenesis of early childhood caries (ECC). The aim of this study was to compare the proteomic profile of unstimulated saliva of children aged 3–5 years who had ECC and caries-free (CF) children. After the saliva collection from 20 children (ECC: <i>n</i> = 10; CF: <i>n</i> = 10), the samples were processed for proteomic analysis on a mass spectrometer. 1638 proteins were identified, of which 355 were present in both groups. A total of 579 proteins were exclusively identified in the CF group and included Leucine-rich alpha-2-glycoprotein, Protein S100-A5, Protein S100-A8 and Mucin-2. Moreover, 704 proteins were exclusively identified in the ECC group, including Enamelin. The differential expression analysis revealed that 112 proteins were up-regulated in the CF group. Among these proteins, we highlighted Hemoglobin subunit gamma-1 (343-fold increase), gamma-2 (336-fold increase) and alpha (40-fold increase). The proteomic profile of the saliva varied substantially between the groups. Hemoglobin subunit gamma-1, gamma-2 and alpha may play a protective role in children with ECC. These proteins should be evaluated in future studies, because they may be possible good candidates to be included in anti-caries dental products.
DOI: 10.5281/zenodo.7743805
title: MUSES Leaf Area Index (LAI) Monthly Global 500m SIN Grid in 2013

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2013. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7743804
title: MUSES Leaf Area Index (LAI) Monthly Global 500m SIN Grid in 2013

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 500m spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2013. Please <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2012</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 Spatial Resolution: 500m Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.22297432
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 3. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 3. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297432.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 3. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 3. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297429
title: Tablas de Inteligencia artificial aplicada en el análisis de suelos para el sector agrícola segun autores

description: Tablas de Inteligencia artificial aplicada en el análisis de suelos para el sector agrícola segun autores
DOI: 10.6084/m9.figshare.22297429.v1
title: Tablas de Inteligencia artificial aplicada en el análisis de suelos para el sector agrícola segun autores

description: Tablas de Inteligencia artificial aplicada en el análisis de suelos para el sector agrícola segun autores
DOI: 10.6084/m9.figshare.22297438
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297438.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 1, day 4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297441
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 2, days 1,2,3&4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 2, days 1,2,3&4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297441.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 2, days 1,2,3&4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 2, days 1,2,3&4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.5517/ccdc.csd.cc2d5d22
title: CCDC 2209713: Experimental Crystal Structure Determination

description: Related Article: Deep Kumar Das, Rangarajan Bakthavatsalam, Venkatesha R. Hathwar, Raghavaiah Pallepogu, Janardan Kundu|2023|J.Mater.Chem.C|11|3855|doi:10.1039/D2TC04361K
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: 10.3886/e186821
title: Effect of Airtime Incentives to improve participation in IVR surveys in Colombia and Tanzania (2018)

description: The study evaluated whether airtime incentives can improve cooperation and response rates for a non-communicable disease (NCD) interactive voice response (IVR) survey in Colombia and Tanzania.
DOI: 10.3886/e186821v1
title: Effect of Airtime Incentives to improve participation in IVR surveys in Colombia and Tanzania (2018)

description: The study evaluated whether airtime incentives can improve cooperation and response rates for a non-communicable disease (NCD) interactive voice response (IVR) survey in Colombia and Tanzania.
DOI: 10.6084/m9.figshare.22297465
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 3, days 1,2,3&4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 3, days 1,2,3&4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297465.v1
title: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 3, days 1,2,3&4. Used for analysis in Figures 3b&C.

description: Light and fluorescence microscopy images of phase separation of LCD+S2hp vRNA and Thioflavin-S, repeat 3, days 1,2,3&4. Used for analysis in Figures 3b&C. Note camera artifacts that are not PS droplets.
DOI: 10.5281/zenodo.7747248
title: Coastal Armoring Coastal Monitoring 2023 (Groups 1 & 2)

description: Types of coastal armoring (i.e. sea wall) observed along the Mo'orea coastline on February 20, 2023, collected and organized by timestamp and including data on observer, group, present perpendicular structures, distance of armoring to water, and field notes. Uploaded data is one file for group 1 and one file for group 2 (not all groups compiled).
DOI: 10.6084/m9.figshare.22284385.v2
title: Development and evaluation of prevention bundle for neonatal healthcare-associated infections

description: Root cause analysis, Observations and survey, testing of the prevention bundles
DOI: 10.6084/m9.figshare.22297477
title: Light microscopy images of NCAP droplets with and without different G12 concentrations. Used in Figure 5b.

description: Light microscopy images of NCAP droplets with and without different G12 concentrations. Used in Figure 5b. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297477.v1
title: Light microscopy images of NCAP droplets with and without different G12 concentrations. Used in Figure 5b.

description: Light microscopy images of NCAP droplets with and without different G12 concentrations. Used in Figure 5b. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297474
title: Light and Fluorescence microscopy images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6.

description: Light and Fluorescence microscopy images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297474.v2
title: Light and Fluorescence microscopy images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6.

description: Light and Fluorescence microscopy images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297474.v1
title: Light and Fluorescence images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6.

description: Light and Fluorescence images of NCAP droplets with and without FITC labeled G12. Used in Supplementary Figure 6. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297540
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 1. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 1. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297540.v1
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 1. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 1. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297576.v1
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 2. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 2. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297576
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 2. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 2. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.5281/zenodo.7747233
title: Water Outlets Coastal Monitoring 2023

description: Types of water outlets (i.e. river, storm drain, etc.) observed along the Mo'orea coastline on February 20, 2023, collected and organized by timestamp and including data on observer, group, if outlet was flowing or non-flowing, water outlet width, and field notes.
DOI: 10.5281/zenodo.7747197
title: Birds Coastal Monitoring 2023

description: The number of birds (identified by common name) observed along Mo'orea coastline transects on February 20, 2023, collected and organized by timestamp and including data on observer, group, and field notes.
DOI: 10.6084/m9.figshare.22297615
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 3. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 3. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297615.v1
title: Light microscopy images of NCAP+ G12 with different concentrations, repeat 3. Used for analysis in Figure 5c.

description: Light microscopy images of NCAP+ G12 with different concentrations, repeat 3. Used for analysis in Figure 5c. Note camera artifacts that are not PS droplets.
DOI: 10.6084/m9.figshare.22297642
title: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 1. Used in Supplementary Figure 7.

description: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 1. Used in Supplementary Figure 7.
DOI: 10.6084/m9.figshare.22297642.v1
title: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 1. Used in Supplementary Figure 7.

description: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 1. Used in Supplementary Figure 7.
DOI: 10.6084/m9.figshare.22297645.v1
title: Supporting data: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 2.

description: Supporting data: Microscopy images of FITC labeled G12 and no inhibitor control in cells, repeat 2.