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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gkritzalis, Thanos;

    Cruise QC flag: D (see further details). The Fair Data Use Statement for SOCAT can be found at hdl:10013/epic.48576.d001

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    PANGAEA
    Dataset . 2016
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      PANGAEA
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Linus PITHAN; Vladimir STAROSTIN; Yuriy CHUSHKIN; Ivan ZALUZHNYY; +1 Authors

    We propose to use coherent X-ray scattering to study the dynamics of organic molecules during organic molecule deposition. Using X-ray photon correlation spectroscopy, we can measure the characteristic time scales over which the surface of the film evolves. To do this, we will study several organic molecules of different shapes to be particularly sensitive to rotational and vibrational degrees of freedom that are not present in inorganic film growth.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ B2FINDarrow_drop_down
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    B2FIND
    Dataset . 2025
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ B2FINDarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      B2FIND
      Dataset . 2025
      Data sources: B2FIND
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Xiao, Xiao; Cheng, Shihua; Wu, Jianping; Wang, Weilai; +9 Authors

    This dataset contains the long-period Rayleigh wave ellipticity (20 - 80 s in period) measured from three-component Rayleigh wave waveforms of 9361 tele-seismic events recorded by 4193 seismic stations deployed in continental China during 1990 and 2020. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, Submitted) (model link). The reviewers and associated editor can view the dataset by click the link. 本数据库包含了利用 1990 至 2020 年间中国大陆区域 4193 个地震台站记录的 9361 个远震瑞利波波形测量得到的长周期瑞利波偏振( 周期 20 - 80 s )。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, Submitted) (模型链接) 。 If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com). 

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Silva e Lima, Stella Godoy; Spagnuolo, Regina Stella; Juliani, Carmen Maria Casquel Monti; Colichi, Rosana Maria Barreto;

    ABSTRACT Objectives: to understand the experience of nurses with nursing consultations in the context of the Family Health Strategy and propose a representative model. Methods: qualitative research using Grounded Theory, with 14 nurses working through non-directive interviews. For data analysis, three stages were used: open, axial and selective coding, which originated phenomena, themes, categories and subcategories, which supported the construction of the central category and, consequently, the theoretical model. Results: the interrelation of phenomena emerged from the essence of the nurse’s experience, revealing the central category: From nursing education to the practice of Nursing Consultation, unveiling learning, challenges and autonomy as intervening components. Final Considerations: the nurse’s experience is positive and, despite numerous challenges in daily life, the nurse has been performing it based on comprehensive care. New studies may add new understandings that enable the expansion of working conditions, valuing the nursing consultation.

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    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kirk, Philip; Amsbury, Sam; German, Liam; Gaudioso-Pedraza, Rocio; +1 Authors

    Additional file 1: Table S1. Arabidopsis thaliana proteins reported to localize at PD. Table S2. Plant species compatible with PIP1. List of plant species listed in both PANTHER16 and Ensembl Plant databases at the time of publication. Table S3. PANTHER16 subfamilies represented in experimental proteomes. Table S4. in silico PD proteome for poplar generated with PIP. Table S5. in silico PD proteome for A. thaliana generated with PIP1. Table S6. Genes identified in clusters 87 and 100 of the callose interactome shown in Fig. 3d. Table S7. Description of the microarrays used in this study. Table S8. in silico PD proteome for Medicago truncatula using PIP1.

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    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    figshare
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      figshare
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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    Authors: Nieuwlaat, G.P.A.M.;

    ADC ArcheoProjecten heeft een bureauonderzoek en inventariserend veldonderzoek uitgevoerd op de locatie Ahornstraat 31-45 te Nijmegen. Op basis van het bureauonderzoek werden stuwwalafzettingen in het plangebied verwacht. Hierin kunnen resten vanaf de Bronstijd aanwezig zijn, met een zwaartepunt in resten uit de Romeinse tijd. Daarnaast zijn archeologische resten uit de Nieuwe tijd mogelijk aanwezig, toen in de omgeving van het plangebied een rabattenstelsel is aangelegd. Resten uit deze periode zijn vaak aanwezig in een opgebrachte laag eerdgrond die boven het Romeinse niveau ligt. In de jaren ’50 van de 20e eeuw is het plangebied bebouwd geraakt, en is de infrastructuur in de omgeving aangelegd. Met de aanleg van deze bebouwing is de grond onder de huizen door onderkeldering en het afgraven van de grond voor de fundering verstoord geraakt. Archeologische resten onder de huidige bebouwing worden enkel verwacht indien een dik ophoogpakket aanwezig is. In de overige delen van het plangebied kunnen archeologische resten aanwezig zijn in de top van de C-horizont of B-horizont, en in een daarboven liggende cultuurlaag. Teneinde deze verwachting te toetsen is een verkennend booronderzoek uitgevoerd. De bodemopbouw bestaat uit een grindrijke C-horizont waarop een eerdgrond of cultuurlaag ligt. Deze laag bevat geen dateerbaar materiaal. Het geheel wordt afgedekt door een recentere bouwvoor. In het verleden is de top van de C-horizont afgedekt door een eerdlaag of verstoord door een cultuurdek. Dit pakket is later deels verstoord bij de vorming van de huidige bouwvoor. De top van de C-horizont volgt het reliëf van de stuwwal. Archeologische resten kunnen aanwezig zijn in de top van de C-horizont, en in de bovenliggende eerdgrond of cultuurlaag. Binnen de contouren van de huidige bebouwing is de bodem echter tot in het potentieel archeologisch niveau verstoord.

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    DANS Data Station Archaeology
    Dataset . 2022
    License: CC BY
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    NARCIS; EASY
    Dataset . 2022
    Data sources: Datacite; NARCIS
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    DANS-EASY
    Dataset . 2022
    Data sources: B2FIND
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      DANS Data Station Archaeology
      Dataset . 2022
      License: CC BY
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      NARCIS; EASY
      Dataset . 2022
      Data sources: Datacite; NARCIS
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      DANS-EASY
      Dataset . 2022
      Data sources: B2FIND
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    Authors: J. E. van den Bosch;

    In het kader van de vergunningverlening ten behoeve van de reconstructie van de N481a ter plaatse van de Peilmolenweg - Zijdeweg te Oud-Alblas (Gemeente Molenwaard) werd een Archeologisch Bureauonderzoek uitgevoerd.

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    Authors: Guilbault, Emy; Renner, Ian; Mahony, Michael; Beh, Eric;

    1. Species distribution modeling, which allows users to predict the spatial distribution of species with the use of environmental covariates, has become increasingly popular, with many software platforms providing tools to fit such models. However, the species observations used can have varying levels of quality and can have incomplete information, such as uncertain or unknown species identity. 2. In this paper, we develop two algorithms to classify observations with unknown species identities which simultaneously predict several species distributions using spatial point processes. Through simulations, we compare the performance of these algorithms using 7 different initializations to the performance of models fitted using only the observations with known species identity. 3. We show that performance varies with differences in correlation among species distributions, species abundance, and the proportion of observations with unknown species identities. Additionally, some of the methods developed here outperformed the models that didn't use the misspecified data. We applied the best-performing methods to a dataset of three frog species (Mixophyes). 4. These models represent a helpful and promising tool for opportunistic surveys where misidentification is possible or for the distribution of species newly separated in their taxonomy. Our study case dataset uses presence-only records from the online database of the Atlas of Living Australia. On this platform, any person that sees a frog in the wild can report the coordinates and other relevant information. We focused the analysis on the three northern species of Mixophyes genus that have been recently separated in Mahony et al. 2006. We cleaned our dataset by including only observations of adult specimens with date information and through verification by a specialist of these species, M. Mahony. The observations with known species labels were those for which we have associated genetic information as well as any observations reported after the taxonomic split in 2006. The rest of the observations were considered as having unknown species labels. We extracted relevant covariates for these species on a 5kmx5km grid from different sources: BBCVL, UC Davis Biogeo group and bom. A README file details the data files and an Rscript documents details of the steps of the analysis.

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    ZENODO; DRYAD
    Dataset . 2022
    License: CC 0
    Data sources: ZENODO; Datacite
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      ZENODO; DRYAD
      Dataset . 2022
      License: CC 0
      Data sources: ZENODO; Datacite
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    Authors: Devonshire, Alison; O’Sullivan, Denise; Isobella Honeyborne; Gerwyn Jones; +27 Authors

    The dMIQE checklist for this study. (XLSX 18 kb)

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    Dataset . 2016
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    Dataset . 2016
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    Data sources: Datacite
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    Data for D′Oliviera et al. manuscript.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Gkritzalis, Thanos;

    Cruise QC flag: D (see further details). The Fair Data Use Statement for SOCAT can be found at hdl:10013/epic.48576.d001

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    PANGAEA
    Dataset . 2016
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2016
      Data sources: B2FIND
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    Authors: Linus PITHAN; Vladimir STAROSTIN; Yuriy CHUSHKIN; Ivan ZALUZHNYY; +1 Authors

    We propose to use coherent X-ray scattering to study the dynamics of organic molecules during organic molecule deposition. Using X-ray photon correlation spectroscopy, we can measure the characteristic time scales over which the surface of the film evolves. To do this, we will study several organic molecules of different shapes to be particularly sensitive to rotational and vibrational degrees of freedom that are not present in inorganic film growth.

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    B2FIND
    Dataset . 2025
    Data sources: B2FIND
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      B2FIND
      Dataset . 2025
      Data sources: B2FIND
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    Authors: Xiao, Xiao; Cheng, Shihua; Wu, Jianping; Wang, Weilai; +9 Authors

    This dataset contains the long-period Rayleigh wave ellipticity (20 - 80 s in period) measured from three-component Rayleigh wave waveforms of 9361 tele-seismic events recorded by 4193 seismic stations deployed in continental China during 1990 and 2020. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (CSRM-1.0) in the top 100 km of the crust and uppermost mantle in continental China (Xiao et al, JGR, Submitted) (model link). The reviewers and associated editor can view the dataset by click the link. 本数据库包含了利用 1990 至 2020 年间中国大陆区域 4193 个地震台站记录的 9361 个远震瑞利波波形测量得到的长周期瑞利波偏振( 周期 20 - 80 s )。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型(CSRM-1.0)的工作 (Xiao et al, JGR, Submitted) (模型链接) 。 If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (xiaox.seis@gmail.com). 

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
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    Authors: Silva e Lima, Stella Godoy; Spagnuolo, Regina Stella; Juliani, Carmen Maria Casquel Monti; Colichi, Rosana Maria Barreto;

    ABSTRACT Objectives: to understand the experience of nurses with nursing consultations in the context of the Family Health Strategy and propose a representative model. Methods: qualitative research using Grounded Theory, with 14 nurses working through non-directive interviews. For data analysis, three stages were used: open, axial and selective coding, which originated phenomena, themes, categories and subcategories, which supported the construction of the central category and, consequently, the theoretical model. Results: the interrelation of phenomena emerged from the essence of the nurse’s experience, revealing the central category: From nursing education to the practice of Nursing Consultation, unveiling learning, challenges and autonomy as intervening components. Final Considerations: the nurse’s experience is positive and, despite numerous challenges in daily life, the nurse has been performing it based on comprehensive care. New studies may add new understandings that enable the expansion of working conditions, valuing the nursing consultation.

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    Dataset . 2022
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    Authors: Kirk, Philip; Amsbury, Sam; German, Liam; Gaudioso-Pedraza, Rocio; +1 Authors

    Additional file 1: Table S1. Arabidopsis thaliana proteins reported to localize at PD. Table S2. Plant species compatible with PIP1. List of plant species listed in both PANTHER16 and Ensembl Plant databases at the time of publication. Table S3. PANTHER16 subfamilies represented in experimental proteomes. Table S4. in silico PD proteome for poplar generated with PIP. Table S5. in silico PD proteome for A. thaliana generated with PIP1. Table S6. Genes identified in clusters 87 and 100 of the callose interactome shown in Fig. 3d. Table S7. Description of the microarrays used in this study. Table S8. in silico PD proteome for Medicago truncatula using PIP1.

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    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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