cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/3mdx7-y7y95
title: Hpylori_dFliF_FISE

description: These are H_pylori cells that are lacking FliP protein. In these cells, FliF protein was knocked out  .  to examine its relation to the hat-like complex.
description: <strong>Tilt Series Date:</strong> 2020-10-08</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -8.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> The cells were prepared and sent by Carrie Schaffer from the university of Kentucky. The cells were grown at 37C with 5% CO2 on sheep blood agar plates for 2 days from a -80C. No growth was seen . on the plates after 24 hr therefore the plates were kept in the . incubator for another 24Hr.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100%  humidity. Cu grids. 10 nm . gold</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-242/rawdata/</p>Hpylori_DFliF_FISE_236.mrc,  Tilt Series (Pixel Size 0.452 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-242/rawdata/Hpylori_DFliF_FISE_236.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_DFliF_FISE_236_part41_1.rec,  Reconstruction (Pixel Size 1.808 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2020-10-08-242/3dimage_113964/Hpylori_DFliF_FISE_236_part41_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/8q8rp-6sz80
title: Saccharomyces cerevisiae - 6210

description: Raw data files of Saccharomyces cerevisiae - 6210
description: <strong>Tilt Series Date:</strong> 2017-04-08</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -10.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Obtained from Dr. Markus Babst, University of Utah</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown overnight in YPD, diluted to 0.2 OD in the morning and allowed to grow till OD ~0.6.</p>
<strong>Sample Preparation:</strong> Cells were diluted to an OD of 0.2-0.25 in YPD, applied to the grid, blotted from behind manually and plunge frozen in liquid ethane-propane mix. ~200 nm lamellae were FIB milled before imaging by TEM.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2017-04-08-12/rawdata/</p>TS7.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.8 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2017-04-08-12/rawdata/TS7.mrc"
        > <i class="download icon"></i> Download </a></p>

        TS7_4bin_DB.rec,  Reconstruction (Pixel Size 0.0 nm), 184.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2017-04-08-12/3dimage_86271/TS7_4bin_DB.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/6h40p-4vf32
title: Coxiella_ Verocells_28dpi

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Coxiella cells purified from infected Vero cells.
description: <strong>Tilt Series Date:</strong> 2017-09-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Heinzen. Data collected and processed by Debnath Ghosal using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Refer to Heinzen lab.</p>
<strong>Sample Preparation:</strong> Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.T</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-59/rawdata/</p>Cb_vero_201709250059.mrc,  Tilt Series (Pixel Size 0.39 nm), 996.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-59/rawdata/Cb_vero_201709250059.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_201709250059_part35_4.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-59/3dimage_88498/Cb_vero_201709250059_part35_4.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/x27kg-84226
title: perfusion_dcrp_fixed

description: This sample was fixed with 2.5% glutaraldehyde for 1 hour. The cells look sick, the outer membrane looks bad. Fixing for 1 hour turns out to be bad,need to fix for lesser time.
description: <strong>Tilt Series Date:</strong> 2015-08-18</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Moh and Sahand</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The sample was grown in perfusion chamber and fixed for 1hour with 2.5% glutaraldehyde. Then washed 3 times in distilled water for 1 minute each. The sample was blotted in a manual plunger with 1ul gold beads.</p>
<strong>Sample Preparation:</strong> The ice was too thick in the squares for which LM images were available, so could not correlate. Took tomograms of all bugs in a square.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-22/3dimage_60485/</p>perfusion_dcrp_atlas10022_full.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-22/3dimage_60485/perfusion_dcrp_atlas10022_full.rec"
        > <i class="download icon"></i> Download </a></p>

        perfusion_dcrp_atlas10022.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-22/rawdata/perfusion_dcrp_atlas10022.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.fedxck
title: Occurrence Download

description: A dataset containing 24440 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Censo Neotropical de Aves Acuáticas en Colombia (CNAA): 2002 - 2018"
 ]
}

 The dataset includes 24440 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007957-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/fcztw-y4047
title: H. pylori 26695 WT / AGS

description: Grid box YWC229
description: <strong>Tilt Series Date:</strong> 2016-11-02</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 140.0 eV/Å²,  defocus: -8.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
<strong>Sample Preparation:</strong> Vitrobot settings: 100% humidity, 37 C, 3µl BSA treated 20 nm gold (100 ml gold+ 25 ml 10% BSA x4, resuspend in 30 ul). Blot for 5 sec (1 sec longer than usual to remove more solution). Ethane/propane mix.</p>
  ycw2016-11-02-8_slicer17150.jpg: cag T4SS tubes? ycw2016-11-02-8_slicer17151.jpg: tube periodicity (pink) and cross sections (green) ycw2016-11-02-8_slicer17152.jpg: tube cross sections ycw2016-11-02-8_slicer17153.jpg: long tube on top of H. pylori cell ycw2016-11-02-8_slicer17871.jpg: cag T4SS wi fi particle?
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-11-02-8/3dimage_79506/</p>20161102_YWC229_20006_full.rec,  Reconstruction (Pixel Size 1.92 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-11-02-8/3dimage_79506/20161102_YWC229_20006_full.rec"
        > <i class="download icon"></i> Download </a></p>

        20161102_YWC229_20006.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-11-02-8/rawdata/20161102_YWC229_20006.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/bp1b6-jjg28
title: V. cholerae JAS286 delta-tcpD

description: Classical strain with ctxA deletionStrain name JAS286 (tcpD gene knonkout)Cell harbors pMT5 plasmid (inducible toxT)
description: <strong>Tilt Series Date:</strong> 2016-08-05</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O395-N1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Gabriela Kovacikova</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O/N cultures of Vibrio cholerae O395 N1 pMT5 grown in LB, 1 mM IPTG and 100 ug/mL ampicillin.</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3.5µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 3 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-05-30/rawdata/</p>20160805_YWC215_10030.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-05-30/rawdata/20160805_YWC215_10030.mrc"
        > <i class="download icon"></i> Download </a></p>

        20160805_YWC215_10030_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-05-30/3dimage_76357/20160805_YWC215_10030_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.6084/m9.figshare.24062052
title: Data - Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes

description: This dataset is linked to the publication "<i>Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes</i>" (Morales-Rozo et al., 2024): https://doi.org/10.1007/s10531-024-02939-1We identify areas of importance for plants, applying the IPA methodology (Important Plant Areas). In this study, we built a high-quality and georeferenced dataset with occurrence data belonging to species of the Espeletiinae subtribe available from the Global Biodiversity Information Facility (GBIF, 2022), and Alexander von Humboldt Biological Resources Research Institute (Castellanos & Diazgranados, 2016). We use the entire range of subtribe distribution that covers Venezuela, Colombia, and Ecuador. We apply criteria A (Threatened species) and B (Botanical richness) of the methodology specifically in its sub-criteria cA1 (Globally threatened species), cA3 (Nationally threatened species), cA4 (Highly restricted range endemic (HRR) species), cA5 (Range-restricted endemic (RRE) species), cB1 (Richness estimated by ecosystem type), cB2 (Areas that together support 10% of an ecosystem's richness). Furthermore, we present the complete dataset (TS1) and the results of each sub-criteria (cA1-TS2, cA3-TS3, cA4-TS4, cA5-TS5, cB2-TS6). After applying the sub-criteria described in our research, we selected 11 high-priority IPAs presented in the TS7. Please contact the authors with any questions.<b>Authors</b>: Clara Morales-Rozo, Ian S. Acuña-Rodríguez, Juan Benavides, Víctor Julio Rincón Parra<sup> </sup>& Mauricio Diazgranados (Corresponding author m.diazgranados@kew.org)<br>
DOI: 10.6084/m9.figshare.24062052.v2
title: Data - Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes

description: This dataset is linked to the publication "<i>Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes</i>" (Morales-Rozo et al., 2024): https://doi.org/10.1007/s10531-024-02939-1We identify areas of importance for plants, applying the IPA methodology (Important Plant Areas). In this study, we built a high-quality and georeferenced dataset with occurrence data belonging to species of the Espeletiinae subtribe available from the Global Biodiversity Information Facility (GBIF, 2022), and Alexander von Humboldt Biological Resources Research Institute (Castellanos & Diazgranados, 2016). We use the entire range of subtribe distribution that covers Venezuela, Colombia, and Ecuador. We apply criteria A (Threatened species) and B (Botanical richness) of the methodology specifically in its sub-criteria cA1 (Globally threatened species), cA3 (Nationally threatened species), cA4 (Highly restricted range endemic (HRR) species), cA5 (Range-restricted endemic (RRE) species), cB1 (Richness estimated by ecosystem type), cB2 (Areas that together support 10% of an ecosystem's richness). Furthermore, we present the complete dataset (TS1) and the results of each sub-criteria (cA1-TS2, cA3-TS3, cA4-TS4, cA5-TS5, cB2-TS6). After applying the sub-criteria described in our research, we selected 11 high-priority IPAs presented in the TS7. Please contact the authors with any questions.<b>Authors</b>: Clara Morales-Rozo, Ian S. Acuña-Rodríguez, Juan Benavides, Víctor Julio Rincón Parra<sup> </sup>& Mauricio Diazgranados (Corresponding author m.diazgranados@kew.org)<br>
DOI: 10.22002/b7zw9-6yt80
title: Lp02-fixed

description: WT Lp02 cells were fixed with GA and re-suspended in  PBS.
description: <strong>Tilt Series Date:</strong> 2017-11-21</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Joelle Gabay and Howard Shuman prepared samples, Debnath Ghosal collected data.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Shuman Lab</p>
<strong>Sample Preparation:</strong> 6 grids were frozen, cell density was increased to 2x by centrifugation. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-11-21-19/rawdata/</p>Legionella_fixed_20171121a0009.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-11-21-19/rawdata/Legionella_fixed_20171121a0009.mrc"
        > <i class="download icon"></i> Download </a></p>

        Legionella_fixed_20171121a0009_part61_24.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.6084/m9.figshare.24062052.v1
title: Data - Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes

description: This dataset is linked to the publication "<i>Prioritization of Important Plant Areas for conservation of frailejones (Espeletiinae, Asteraceae) in the Northern Andes</i>" (Morales-Rozo et al., 2024): https://doi.org/10.1007/s10531-024-02939-1We identify areas of importance for plants, applying the IPA methodology (Important Plant Areas). In this study, we built a high-quality and georeferenced dataset with occurrence data belonging to species of the Espeletiinae subtribe available from the Global Biodiversity Information Facility (GBIF, 2022), and Alexander von Humboldt Biological Resources Research Institute (Castellanos & Diazgranados, 2016). We use the entire range of subtribe distribution that covers Venezuela, Colombia, and Ecuador. We apply criteria A (Threatened species) and B (Botanical richness) of the methodology specifically in its sub-criteria cA1 (Globally threatened species), cA3 (Nationally threatened species), cA4 (Highly restricted range endemic (HRR) species), cA5 (Range-restricted endemic (RRE) species), cB1 (Richness estimated by ecosystem type), cB2 (Areas that together support 10% of an ecosystem's richness). Furthermore, we present the complete dataset (TS1) and the results of each sub-criteria (cA1-TS2, cA3-TS3, cA4-TS4, cA5-TS5, cB2-TS6). After applying the sub-criteria described in our research, we selected 11 high-priority IPAs presented in the TS7. Please contact the authors with any questions.<b>Authors</b>: Clara Morales-Rozo, Ian S. Acuña-Rodríguez, Juan Benavides, Víctor Julio Rincón Parra<sup> </sup>& Mauricio Diazgranados (Corresponding author m.diazgranados@kew.org)<br>
DOI: 10.6084/m9.figshare.30015397
title: <b>"PUSH AND PULL FACTORS ILLUMINATION OF NURSES MIGRATION: A</b><b>PHENOMENOLOGICAL STUDY"</b>

description: <b>Abstract:</b> The present investigation was carried out to examine the prevailing phenomenon of nursing migration, utilizing evidence-based data and information. This study aims to gather data regarding the experiences of Filipino nurses both in the Philippines and abroad, with a focus on the push and pull factors that contribute to the phenomenon known as brain drain. The primary objective of this approach is to conduct a comprehensive examination and analysis of the fundamental factors driving migration, with the ultimate aim of improving the healthcare system in the Philippines. The study employed Van Manen's qualitative descriptive phenomenology, which is based on the philosophical principles of phenomenology. The researcher employed purposive sampling to select the key participants for this investigation. In conclusion, the study reveals that the driving factors and motivations of Filipino nurses exhibit variation as a result of their distinct individual needs. Some individuals choose to participate in migration as a result of its widespread acceptance and integration into society. The potential for enhanced quality of life has made migration a feasible option for individuals living in developing countries in which the nursing professionals receive a diverse array of career prospects.<br><b>Keywords:</b> Push and Pull, Filipino Nurses, Migration, Brain Drain Syndrome, Brain Gain.
DOI: 10.6084/m9.figshare.30015397.v1
title: <b>"PUSH AND PULL FACTORS ILLUMINATION OF NURSES MIGRATION: A</b><b>PHENOMENOLOGICAL STUDY"</b>

description: <b>Abstract:</b> The present investigation was carried out to examine the prevailing phenomenon of nursing migration, utilizing evidence-based data and information. This study aims to gather data regarding the experiences of Filipino nurses both in the Philippines and abroad, with a focus on the push and pull factors that contribute to the phenomenon known as brain drain. The primary objective of this approach is to conduct a comprehensive examination and analysis of the fundamental factors driving migration, with the ultimate aim of improving the healthcare system in the Philippines. The study employed Van Manen's qualitative descriptive phenomenology, which is based on the philosophical principles of phenomenology. The researcher employed purposive sampling to select the key participants for this investigation. In conclusion, the study reveals that the driving factors and motivations of Filipino nurses exhibit variation as a result of their distinct individual needs. Some individuals choose to participate in migration as a result of its widespread acceptance and integration into society. The potential for enhanced quality of life has made migration a feasible option for individuals living in developing countries in which the nursing professionals receive a diverse array of career prospects.<br><b>Keywords:</b> Push and Pull, Filipino Nurses, Migration, Brain Drain Syndrome, Brain Gain.