cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/q0dy8-9r557
title: Pseudomonas aeruinosa

description: This is from the transposon mutant library of Pseudomonas aeruginosa PAO1. The aim is to check for the presence of PL sub complexes in the absence of FliF protein.
description: <strong>Tilt Series Date:</strong> 2018-10-02</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Pseudomonas aeruginosa</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -9.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Serial EM</p>
<strong>Collaborators and Roles:</strong> I obtained these cells from Dianne Newmann lab (Shannon Park)</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The cells were grown overnight at 37 C in LB with 100 ug/ml gentamicin</p>
<strong>Sample Preparation:</strong> Samples from the overnight culture were used to prepare the grids.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-10-02-15/rawdata/</p>Test_Pseudomonas_dfliF_64.mrc,  Tilt Series (Pixel Size 0.37 nm), 2.9 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        Test_Pseudomonas_dfliF_64_full.rec,  Reconstruction (Pixel Size 1.48 nm), 444.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-10-02-15/3dimage_97456/Test_Pseudomonas_dfliF_64_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.j4by8s
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Urotheca lateristriga"
 ]
}

 The dataset includes 136 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005902-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/27919152
title: <b>Data From: Bacterial Communities of House Flies from Beef and Dairy Cattle Operations Are Diverse and Contain Pathogens of Medical and Veterinary Importance</b>

description: Adult house flies (<i>Musca domestica</i> L.) are important reservoirs and mechanical vectors of bacteria in livestock operations. House fly bacterial communities are influenced by their local environment, yet a comprehensive understanding of bacterial diversity, pathogen prevalence, and bacterial source is not fully understood. We characterized bacterial communities from adult female house flies and associated manure samples from beef and dairy cattle farms in Kansas, Oklahoma, and Texas over four months (July-October). Bacterial community composition in flies and manure reflected the local environment, and house flies shared the majority (≥99%) of bacterial taxa with manure. The variability of bacterial diversity was greater among individual fly (species richness range: 48 - 1747) samples than manure (species richness range: 345 - 1162). Temporal variability of fly bacterial diversity was observed within each farm type. Bacterial taxa of veterinary and medical importance such as <i>Corynebacterium</i>, <i>Turicibacter</i>, <i>Staphylococcus</i>, <i>Streptococcus</i>, and <i>Acinetobacter</i> were highly prevalent in flies, constituting core bacterial communities. The prevalence of bacterial taxa associated with bovine keratoconjunctivitis (IBK) and bovine respiratory disease (BRD) was higher in flies than in manure and prevalence varied monthly. This study underscores the crucial role house flies play as carriers of cattle pathogens, contributing to their dissemination among animals and to off-site locations, where they pose a threat to surrounding communities and agricultural operations.The raw Illumina MiSeq sequence data for this project can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1009094Resources in this dataset:Resource Title: Metadata for Dairy farm associated house fly and manure bacterial communities; File Name: Metadata_ Microbiome_House Flies and manure from Beef and Dairy Cattle Operations.xlsx Resource; Description: This spreadsheet links the raw sequence reads on NCBI Accession No. PRJNA1009094 data.
DOI: 10.15482/usda.adc/27919152.v1
title: <b>Data From: Bacterial Communities of House Flies from Beef and Dairy Cattle Operations Are Diverse and Contain Pathogens of Medical and Veterinary Importance</b>

description: Adult house flies (<i>Musca domestica</i> L.) are important reservoirs and mechanical vectors of bacteria in livestock operations. House fly bacterial communities are influenced by their local environment, yet a comprehensive understanding of bacterial diversity, pathogen prevalence, and bacterial source is not fully understood. We characterized bacterial communities from adult female house flies and associated manure samples from beef and dairy cattle farms in Kansas, Oklahoma, and Texas over four months (July-October). Bacterial community composition in flies and manure reflected the local environment, and house flies shared the majority (≥99%) of bacterial taxa with manure. The variability of bacterial diversity was greater among individual fly (species richness range: 48 - 1747) samples than manure (species richness range: 345 - 1162). Temporal variability of fly bacterial diversity was observed within each farm type. Bacterial taxa of veterinary and medical importance such as <i>Corynebacterium</i>, <i>Turicibacter</i>, <i>Staphylococcus</i>, <i>Streptococcus</i>, and <i>Acinetobacter</i> were highly prevalent in flies, constituting core bacterial communities. The prevalence of bacterial taxa associated with bovine keratoconjunctivitis (IBK) and bovine respiratory disease (BRD) was higher in flies than in manure and prevalence varied monthly. This study underscores the crucial role house flies play as carriers of cattle pathogens, contributing to their dissemination among animals and to off-site locations, where they pose a threat to surrounding communities and agricultural operations.The raw Illumina MiSeq sequence data for this project can be found here: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1009094Resources in this dataset:Resource Title: Metadata for Dairy farm associated house fly and manure bacterial communities; File Name: Metadata_ Microbiome_House Flies and manure from Beef and Dairy Cattle Operations.xlsx Resource; Description: This spreadsheet links the raw sequence reads on NCBI Accession No. PRJNA1009094 data.
DOI: 10.6084/m9.figshare.28139171
title: Mexico Airports Traffic Statistics (2006–2025)

description: This project provides a Python script designed to generate horizontal bar charts visualizing statistics for Mexico's 66 civil airports. The visualizations highlight which airports had the most passengers, flights (arrivals + departures), and cargo operations during a given year within the period from 2006 to 2025.<b>Project Contents</b><b>Python Script</b>: A Python script to generate horizontal bar charts based on user-specified data inputs (e.g., passengers, flights, or cargo operations) and year.<b>Time Series Dataset</b>: Includes monthly data (2006–2024) for all civil airports in Mexico. The dataset captures:<b>Traffic Types</b>: Passengers, flights, and cargo operations.<b>Traffic Scope</b>: Domestic and international.<b>Sample Outputs</b>: Three example figures demonstrating the generated visualizations.<b>Requirements File</b>: A <code>requirements.txt</code> file listing the Python dependencies needed to run the script.<b>Data Source</b>All data in the dataset is sourced from the official Mexican Federal Civil Aviation Agency (AFAC): https://www.gob.mx/afac/acciones-y-programas/estadisticas-280404/.<b>Applications</b>This tool is useful for researchers, aviation analysts, and policymakers interested in understanding trends and performance in Mexico's civil aviation sector. The script simplifies data visualization and analysis, enabling users to explore traffic patterns over time and identify key hubs for passengers, flights, or cargo operations.
DOI: 10.6084/m9.figshare.28139171.v5
title: Mexico Airports Traffic Statistics (2006–2025)

description: This project provides a Python script designed to generate horizontal bar charts visualizing statistics for Mexico's 66 civil airports. The visualizations highlight which airports had the most passengers, flights (arrivals + departures), and cargo operations during a given year within the period from 2006 to 2025.<b>Project Contents</b><b>Python Script</b>: A Python script to generate horizontal bar charts based on user-specified data inputs (e.g., passengers, flights, or cargo operations) and year.<b>Time Series Dataset</b>: Includes monthly data (2006–2024) for all civil airports in Mexico. The dataset captures:<b>Traffic Types</b>: Passengers, flights, and cargo operations.<b>Traffic Scope</b>: Domestic and international.<b>Sample Outputs</b>: Three example figures demonstrating the generated visualizations.<b>Requirements File</b>: A <code>requirements.txt</code> file listing the Python dependencies needed to run the script.<b>Data Source</b>All data in the dataset is sourced from the official Mexican Federal Civil Aviation Agency (AFAC): https://www.gob.mx/afac/acciones-y-programas/estadisticas-280404/.<b>Applications</b>This tool is useful for researchers, aviation analysts, and policymakers interested in understanding trends and performance in Mexico's civil aviation sector. The script simplifies data visualization and analysis, enabling users to explore traffic patterns over time and identify key hubs for passengers, flights, or cargo operations.
DOI: 10.6084/m9.figshare.28139171.v4
title: Mexico Airports Traffic Statistics (2006–2025)

description: This project provides a Python script designed to generate horizontal bar charts visualizing statistics for Mexico's 66 civil airports. The visualizations highlight which airports had the most passengers, flights (arrivals + departures), and cargo operations during a given year within the period from 2006 to 2025.<b>Project Contents</b><b>Python Script</b>: A Python script to generate horizontal bar charts based on user-specified data inputs (e.g., passengers, flights, or cargo operations) and year.<b>Time Series Dataset</b>: Includes monthly data (2006–2024) for all civil airports in Mexico. The dataset captures:<b>Traffic Types</b>: Passengers, flights, and cargo operations.<b>Traffic Scope</b>: Domestic and international.<b>Sample Outputs</b>: Three example figures demonstrating the generated visualizations.<b>Requirements File</b>: A <code>requirements.txt</code> file listing the Python dependencies needed to run the script.<b>Data Source</b>All data in the dataset is sourced from the official Mexican Federal Civil Aviation Agency (AFAC): https://www.gob.mx/afac/acciones-y-programas/estadisticas-280404/.<b>Applications</b>This tool is useful for researchers, aviation analysts, and policymakers interested in understanding trends and performance in Mexico's civil aviation sector. The script simplifies data visualization and analysis, enabling users to explore traffic patterns over time and identify key hubs for passengers, flights, or cargo operations.
DOI: 10.7910/dvn/lcyjqk
title: Figure S2

description: Figure S2. Representative spectra are shown for a 200nM solution of native myoglobin (A) and oxymyoglobin (B). An isosbestic point at 594nm was identified by overlaying of native myoglobin and oxymyoglobin spectra (C) A representative difference spectrum is shown with the largest absolute value being at 580nm and an isosbestic point occurring at 594nm (D).
DOI: 10.48472/deposita/1rv17d
title: Surdez e acessibilidade em instituição federal de ensino no Amazonas

description: Os dados disponibilizados foram coletados como parte de uma pesquisa sobre acessibilidade em bibliotecas de instituições federais de ensino no Amazonas, com foco na inclusão de pessoas com deficiência auditiva. O dataset disponibilizado refere-se aos recursos e serviços existentes no Instituto Federal do Amazonas.
DOI: 10.15468/dl.wm9kaa
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Macrotera bicolor",
 "Year 1000-2025"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000987-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqwyst
title: Occurrence Download

description: A dataset containing 148240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olea europaea",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 148240 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000960-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16969586
title: EPISTEMOLOGIK YONDASHUV ASOSIDA OLIY TA'LIM MUASSASALARIDA INTEGRATSIYALASHGAN  MASHG'ULOTLAR TASHKIL ETISH

description: Mazkur maqolada epistemologik yondashuv asosida Integratsiyalashgan ta’limni tashkil etish va uning mohiyati, bo‘lajak pedagoglar uchun integral ta’limning zaruriyati,Integratsiyalashgan mashg‘ulotlar – oily ta’lim talabalalarini tarbiyalashning muhim omili ekanligi  haqida so‘z boradi.
DOI: 10.5281/zenodo.16969587
title: EPISTEMOLOGIK YONDASHUV ASOSIDA OLIY TA'LIM MUASSASALARIDA INTEGRATSIYALASHGAN  MASHG'ULOTLAR TASHKIL ETISH

description: Mazkur maqolada epistemologik yondashuv asosida Integratsiyalashgan ta’limni tashkil etish va uning mohiyati, bo‘lajak pedagoglar uchun integral ta’limning zaruriyati,Integratsiyalashgan mashg‘ulotlar – oily ta’lim talabalalarini tarbiyalashning muhim omili ekanligi  haqida so‘z boradi.
DOI: 10.15468/dl.df9ysj
title: Occurrence Download

description: A dataset containing 1010585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cenchrus purpureus, Cenchrus setaceus, Cenchrus spinifex, Centaurea benedicta, Centaurea calcitrapa, Centaurea cyanus, Centaurea debeauxii, Centaurea depressa, Centaurea diffusa, Centaurea diluta, Centaurea iberica, Centaurea jacea, Centaurea macrocephala, Centaurea melitensis, Centaurea montana, Centaurea nigra, Centaurea nigrescens, Centaurea psammogena, Centaurea pullata, Centaurea scabiosa)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1010585 records from 2693 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000977-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y8jw3
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chresta pacourinoides (Mart. ex DC.) Loeuille, Siniscalchi & Pirani"
 ]
}

 The dataset includes 442 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022842-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97ahf3
title: Occurrence Download

description: A dataset containing 2596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47637 36.66224,-4.44381 36.66224,-4.44381 36.68273,-4.47637 36.68273,-4.47637 36.66224))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2596 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022844-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wscn96
title: Occurrence Download

description: A dataset containing 3174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.48229 36.65772,-4.43667 36.65772,-4.43667 36.69146,-4.48229 36.69146,-4.48229 36.65772))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3174 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/7n5n4-mvf98
title: Myxococcus xanthus delta-pilY1

description: strain SA6852Grid box YWC212
description: <strong>Tilt Series Date:</strong> 2016-04-24</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 175.0 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> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Strain form Lotte Sogaard-Andersen</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 48 hr in shaking CTT medium at 30 degrees without antibiotics. OD600=0.7</p>
<strong>Sample Preparation:</strong> Vitrobot (MK vi) settings: 100% humidity, 4µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 4 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/ycw2016-04-24-4/rawdata/</p>20160424_YWC212_10006.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/ycw2016-04-24-4/rawdata/20160424_YWC212_10006.mrc"
        > <i class="download icon"></i> Download </a></p>

        20160424_YWC212_10006_SIRT.rec,  Reconstruction (Pixel Size 0.0 nm), 11.4 GB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/pmge2-feb33
title: M. xanthus PilQ delete AA25-300

description: Grid box YWC126SA6808: delta-pilQ_AA25~300
description: <strong>Tilt Series Date:</strong> 2015-04-23</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 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 form Lotte Sogaard-Andersen</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 2 days in 220 rpm shaking CTT medium at 30 degrees without antibiotics. OD600=0.8</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 2.5 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/ycw2015-04-23-18/rawdata/</p>20150423_YWC126_10018.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        20150423_YWC126_10018_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/ycw2015-04-23-18/3dimage_54751/20150423_YWC126_10018_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/j6ke7-r7g95
title: Legionella_delta-lspGHIJK

description: Legionella pneumophila Philadelphia-1_Lp02. Lacks all the T2SS major and minor pseudopilins.
description: <strong>Tilt Series Date:</strong> 2019-05-18</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: (-45.0°, 45.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</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 by Nicholas Cianciotto, Northwestern University. Data collected and processed by Debnath Ghosal.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for this strain (2x concentrated culture, OD~4.8); 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.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-18-3/rawdata/</p>DG8_201905180001.mrc,  Tilt Series (Pixel Size 0.26 nm), 882.8 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        DG8_201905180001_full.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
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