cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/dc3m5-pjj32
title: U2OS-Tubulin Tracker Green

description: U2OS cells stained with tubulin tracker to locate midbodies. Cryo-FIB milling is used to make the sample thinner.
description: <strong>Tilt Series Date:</strong> 2017-05-18</p>
<strong>Data Taken By:</strong> Wei Zhao</p>
<strong>Species / Specimen:</strong> U2OS</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 2°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 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-patch tracking</p>
<strong>Purification / Growth Conditions / Treatment:</strong> U2OS cells grown on Au finder grids for 28-48 hours.Grids coated with PL.</p>
<strong>Sample Preparation:</strong> Cells were stained with tubulin tracker and Hoechst before freezing. Plunge frozen using the vitrobot III blotted manually from back(drain time 1s).</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-9/rawdata/</p>TS10.mrc,  Tilt Series (Pixel Size 0.371 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-9/rawdata/TS10.mrc"
        > <i class="download icon"></i> Download </a></p>

        TS10_bin2_cposThresh.rec,  Reconstruction (Pixel Size 0.0 nm), 197.7 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        TS10_bin2_cpos.rec,  Reconstruction (Pixel Size 0.0 nm), 197.7 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        TS10_bin4_sirt_flipint.rec,  Reconstruction (Pixel Size 0.0 nm), 400.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/wza2017-05-18-9/3dimage_85715/TS10_bin4_sirt_flipint.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/dqvqt-sdw34
title: #92+E.coli bamA purified

description: Raw data files of #92+E.coli bamA purified
description: <strong>Tilt Series Date:</strong> 2015-04-30</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: 2.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 33000x. </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> Chris Hayes and David Low UCSB</p>
<strong>Sample Preparation:</strong> These are E.cloacae mini cells (#92) mixed with purified E.coli BamA protein receptor. Both cells and BamA were blocked with BSA- 100g/ml for 30 minutes before mixing for 20 minutes.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-04-30-21/rawdata/</p>PS96A-atlas0026.mrc,  Tilt Series (Pixel Size 0.33 nm), 1.8 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-04-30-21/rawdata/PS96A-atlas0026.mrc"
        > <i class="download icon"></i> Download </a></p>

        PS96A-atlas0026_full.rec,  Reconstruction (Pixel Size 1.32 nm), 430.6 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        psa2015-04-30-21_slicer19378.png, , 905.1 kB  
        
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        > <i class="download icon"></i> Download </a></p>

        psa2015-04-30-21_slicer19379.png, , 911.2 kB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.5b4ebz
title: Occurrence Download

description: A dataset containing 92591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea"
 ]
}

 The dataset includes 92591 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036294-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11892305
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.a7amkz
title: Occurrence Download

description: A dataset containing 2315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hibiscus syriacus L."
 ]
}

 The dataset includes 2315 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011426-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uem6wu
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Trichiurus lepturus Linnaeus, 1758, Lepturacanthus savala (Cuvier, 1829))"
 ]
}

 The dataset includes 115 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011428-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15572759
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602f Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602f Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15572760
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602f Initial

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602f Initial. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17604172
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17626902
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-11. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.k8ph5s
title: Occurrence Download

description: A dataset containing 759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonomyces",
 "HasCoordinate is true"
 ]
}

 The dataset includes 759 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038436-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pzz9z
title: CCDC 2502422: Experimental Crystal Structure Determination

description: Related Article: Xiaojiao Liu|2025|CSD Communication|||
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: 10.15468/dl.49tdcr
title: Occurrence Download

description: A dataset containing 2366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Elephas maximus"
 ]
}

 The dataset includes 2366 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038439-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34dvy5
title: Occurrence Download

description: A dataset containing 2350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laetisaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2350 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038438-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17618099
title: 2025 SARS-CoV-2 Sequences with Diagnostic Primer/Probe Mismatch Profiles (Q1 - Q3)

description: A collection of 46,253 SARS-CoV-2 genomes from early-to-mid 2025 (Q1-Q3), annotated with detailed mismatch profiles against 11 globally used diagnostic primer and probe regions. Each sequence includes a QC report identifying nucleotide variations within primer binding and probe hybridization sites, based on alignment to Wuhan-Hu-1 (NC_045512.2). Data supports ongoing evaluation of molecular diagnostic assay performance against evolving SARS-CoV-2 variants.Sequences with ≥1 PROBE mismatch: 44,496 (96.2%)

Top 10 Most Impacted Assays:
  N_gene_China: 183,018 sequences (395.7%)
  ORF1ab_China_Set1: 85,066 sequences (183.9%)
  N1_USA: 69,354 sequences (149.9%)
  E_gene_Germany: 44,296 sequences (95.8%)
  RdRp_Germany: 4,569 sequences (9.9%)
  N2_USA: 3,845 sequences (8.3%)
  N_gene_HongKong: 3,512 sequences (7.6%)
  N3_USA: 1,996 sequences (4.3%)
  N_gene_Japan: 1,098 sequences (2.4%)
  N_gene_Thailand: 836 sequences (1.8%)

Top 10 Most Mutated Primer/Probe Regions:
  N_gene_China_forward (forward): 142,820 mutations
  N1_USA_probe (probe): 44,535 mutations
  E_gene_Germany_forward (forward): 44,240 mutations
  ORF1ab_China_Set1_forward (forward): 44,088 mutations
  ORF1ab_China_Set1_probe (probe): 40,772 mutations
  N_gene_China_reverse (reverse): 40,078 mutations
  N1_USA_forward (forward): 24,439 mutations
  RdRp_Germany_forward (forward): 4,369 mutations
  N2_USA_forward (forward): 3,240 mutations
  N_gene_HongKong_forward (forward): 3,092 mutations

Top 15 Most Frequently Mutated Genomic Positions:
  Position 28881: 45,651 mutations
  Position 28882: 44,386 mutations
  Position 28883: 44,385 mutations
  Position 26270: 44,083 mutations
  Position 28311: 44,005 mutations
  Position 15714: 43,868 mutations
  Position 28958: 39,645 mutations
  Position 15756: 39,407 mutations
  Position 28297: 16,214 mutations
  Position 28884: 8,157 mutations
  Position 28291: 7,937 mutations
  Position 29164: 5,976 mutations
  Position 15451: 4,321 mutations
  Position 15762: 775 mutations
  Position 28681: 516 mutations

Distribution of # Assays Impacted per Sequence:
  0 assays (fully intact): 133 (0.3%)
  1 assays: 398 (0.9%)
  2 assays: 1,137 (2.5%)
  3 assays: 1,326 (2.9%)
  4 assays: 35,407 (76.6%)
  5 assays: 4,493 (9.7%)
  6 assays: 497 (1.1%)
  7 assays: 2,630 (5.7%)
  8 assays: 225 (0.5%)
  9 assays: 7 ~(0.0%)Processed by: TahirHB@Hotmail.Com
DOI: 10.5281/zenodo.17618100
title: 2025 SARS-CoV-2 Sequences with Diagnostic Primer/Probe Mismatch Profiles (Q1 - Q3)

description: A collection of 46,253 SARS-CoV-2 genomes from early-to-mid 2025 (Q1-Q3), annotated with detailed mismatch profiles against 11 globally used diagnostic primer and probe regions. Each sequence includes a QC report identifying nucleotide variations within primer binding and probe hybridization sites, based on alignment to Wuhan-Hu-1 (NC_045512.2). Data supports ongoing evaluation of molecular diagnostic assay performance against evolving SARS-CoV-2 variants.Sequences with ≥1 PROBE mismatch: 44,496 (96.2%)

Top 10 Most Impacted Assays:
  N_gene_China: 183,018 sequences (395.7%)
  ORF1ab_China_Set1: 85,066 sequences (183.9%)
  N1_USA: 69,354 sequences (149.9%)
  E_gene_Germany: 44,296 sequences (95.8%)
  RdRp_Germany: 4,569 sequences (9.9%)
  N2_USA: 3,845 sequences (8.3%)
  N_gene_HongKong: 3,512 sequences (7.6%)
  N3_USA: 1,996 sequences (4.3%)
  N_gene_Japan: 1,098 sequences (2.4%)
  N_gene_Thailand: 836 sequences (1.8%)

Top 10 Most Mutated Primer/Probe Regions:
  N_gene_China_forward (forward): 142,820 mutations
  N1_USA_probe (probe): 44,535 mutations
  E_gene_Germany_forward (forward): 44,240 mutations
  ORF1ab_China_Set1_forward (forward): 44,088 mutations
  ORF1ab_China_Set1_probe (probe): 40,772 mutations
  N_gene_China_reverse (reverse): 40,078 mutations
  N1_USA_forward (forward): 24,439 mutations
  RdRp_Germany_forward (forward): 4,369 mutations
  N2_USA_forward (forward): 3,240 mutations
  N_gene_HongKong_forward (forward): 3,092 mutations

Top 15 Most Frequently Mutated Genomic Positions:
  Position 28881: 45,651 mutations
  Position 28882: 44,386 mutations
  Position 28883: 44,385 mutations
  Position 26270: 44,083 mutations
  Position 28311: 44,005 mutations
  Position 15714: 43,868 mutations
  Position 28958: 39,645 mutations
  Position 15756: 39,407 mutations
  Position 28297: 16,214 mutations
  Position 28884: 8,157 mutations
  Position 28291: 7,937 mutations
  Position 29164: 5,976 mutations
  Position 15451: 4,321 mutations
  Position 15762: 775 mutations
  Position 28681: 516 mutations

Distribution of # Assays Impacted per Sequence:
  0 assays (fully intact): 133 (0.3%)
  1 assays: 398 (0.9%)
  2 assays: 1,137 (2.5%)
  3 assays: 1,326 (2.9%)
  4 assays: 35,407 (76.6%)
  5 assays: 4,493 (9.7%)
  6 assays: 497 (1.1%)
  7 assays: 2,630 (5.7%)
  8 assays: 225 (0.5%)
  9 assays: 7 ~(0.0%)Processed by: TahirHB@Hotmail.Com
DOI: 10.15468/dl.ncjcdy
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanopsichium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 331 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038440-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17617781
title: 2024 SARS-CoV-2 Sequences with Diagnostic Primer/Probe Mismatch Profiles

description: A collection of 142,981 SARS-CoV-2 genomes from 2024, annotated with detailed mismatch profiles against 11 globally used diagnostic primer and probe regions. Each sequence includes a QC report identifying nucleotide variations within primer binding and probe hybridization sites, based on alignment to Wuhan-Hu-1 (NC_045512.2). Data derived from high-throughput analysis of aligned FASTA sequences and intended for use in diagnostic assay validation and variant surveillance.Sequences with ≥1 PROBE mismatch: 140,948 (98.6%)

Top 10 Most Impacted Assays (by # of sequences):
  N_gene_China: 568,780 sequences (397.8%)
  ORF1ab_China_Set1: 275,297 sequences (192.5%)
  N1_USA: 158,949 sequences (111.2%)
  E_gene_Germany: 144,591 sequences (101.1%)
  N3_USA: 10,445 sequences (7.3%)
  RdRp_Germany: 6,788 sequences (4.7%)
  N2_USA: 2,217 sequences (1.6%)
  N_gene_Japan: 2,204 sequences (1.5%)
  N_gene_Thailand: 1,949 sequences (1.4%)
  N_gene_HongKong: 1,936 sequences (1.4%)

Top 10 Most Mutated Primer/Probe Regions:
  N_gene_China_forward (forward): 434,349 mutations
  E_gene_Germany_forward (forward): 144,387 mutations
  N1_USA_probe (probe): 141,012 mutations
  ORF1ab_China_Set1_forward (forward): 140,561 mutations
  ORF1ab_China_Set1_probe (probe): 134,458 mutations
  N_gene_China_reverse (reverse): 133,763 mutations
  N1_USA_forward (forward): 17,063 mutations
  N3_USA_probe (probe): 8,144 mutations
  RdRp_Germany_forward (forward): 6,352 mutations
  N3_USA_forward (forward): 1,281 mutations

Top 15 Most Frequently Mutated Genomic Positions:
  Position 28881: 141,598 mutations
  Position 28883: 140,394 mutations
  Position 28882: 140,352 mutations
  Position 15714: 140,080 mutations
  Position 28311: 139,897 mutations
  Position 26270: 139,666 mutations
  Position 15756: 133,601 mutations
  Position 28958: 133,143 mutations
  Position 28884: 11,377 mutations
  Position 28291: 11,223 mutations
  Position 28714: 6,368 mutations
  Position 15451: 6,139 mutations
  Position 28297: 5,261 mutations
  Position 26275: 4,593 mutations
  Position 28344: 702 mutations

Distribution of # Assays Impacted per Sequence:
  0 assays (fully intact): 155 (0.1%)
  1 assays: 523 (0.4%)
  2 assays: 1,564 (1.1%)
  3 assays: 2,477 (1.7%)
  4 assays: 116,072 (81.2%)
  5 assays: 20,219 (14.1%)
  6 assays: 1,796 (1.3%)
  7 assays: 171 (0.1%)
  8 assays: 4 (0.0%)

Data Processed by: TahirHB@Hotmail.Com