cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/y7hrt-zz843
title: CCcenR_glu

description: C. crescentus CenR, glucose depletion .
description: <strong>Tilt Series Date:</strong> 2006-09-21</p>
<strong>Data Taken By:</strong> Lu Gan</p>
<strong>Species / Specimen:</strong> Caulobacter crescentus</p>
<strong>Strain:</strong> NA1000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 0.7°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod</p>
<strong>Collaborators and Roles:</strong> prepared by Lu Gan at Caltech; data collected by Lu Gan; processed by Lu Gan; collaboration with Jeff Skerker and Michael Laub at MIT</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Depleted 36 hours in PYE + 0.1% glucose</p>
<strong>Sample Preparation:</strong> Quantifoil R2/1, BSA treated 10nm gold, 100% humidity, -2mm offset,</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-21-2/rawdata/</p>CCcenR_glu08.mrc,  Tilt Series (Pixel Size 0.67 nm), 1.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-21-2/rawdata/CCcenR_glu08.mrc"
        > <i class="download icon"></i> Download </a></p>

        CCcenR_glu08.rec,  Reconstruction (Pixel Size 1.34 nm), 627.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-21-2/3dimage_2980/CCcenR_glu08.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3sv6t-61r77
title: CCcenK_glu

description: C. crescentus CenK, glucose depletion .
description: <strong>Tilt Series Date:</strong> 2006-09-23</p>
<strong>Data Taken By:</strong> Lu Gan</p>
<strong>Species / Specimen:</strong> Caulobacter crescentus</p>
<strong>Strain:</strong> NA1000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 0.7°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod</p>
<strong>Collaborators and Roles:</strong> prepared by Lu Gan at Caltech; data collected by Lu Gan; processed by Lu Gan; collaboration with Jeff Skerker and Michael Laub at MIT</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Depleted 36 hours in PYE + 0.1% glucose</p>
<strong>Sample Preparation:</strong> Quantifoil R2/1, BSA treated 10nm gold, 100% humidity, -2mm offset,</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-23-3/rawdata/</p>CCcenK_glu14.mrc,  Tilt Series (Pixel Size 0.67 nm), 1.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-23-3/rawdata/CCcenK_glu14.mrc"
        > <i class="download icon"></i> Download </a></p>

        CCcenK_glu14.rec,  Reconstruction (Pixel Size 1.34 nm), 284.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lga2006-09-23-3/3dimage_2996/CCcenK_glu14.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/ebz6k-7fd96
title: Myxococcus xanthus delta-tsaP

description: Grid box YWC113
description: <strong>Tilt Series Date:</strong> 2014-08-11</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 VI) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 2, blot time 3 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/ycw2014-08-11-58/rawdata/</p>20140812_YWC113_10026.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/ycw2014-08-11-58/rawdata/20140812_YWC113_10026.mrc"
        > <i class="download icon"></i> Download </a></p>

        20140812_YWC113_10026_full.rec,  Reconstruction (Pixel Size 1.56 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2014-08-11-58/3dimage_45553/20140812_YWC113_10026_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/pyce6-x3k36
title: Caulobacter crescentus

description: wild type CB15N. 1 of 7, NOT PROCESSED.
description: <strong>Tilt Series Date:</strong> 2006-09-20</p>
<strong>Data Taken By:</strong> Prabha Dias</p>
<strong>Species / Specimen:</strong> Caulobacter crescentus</p>
<strong>Strain:</strong> NA1000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.6°, 60.6°), step: 0.7°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -12.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> UCSF Tomo</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod, bsoft</p>
<strong>Collaborators and Roles:</strong> specimen prep, data collection & processing: D. Prabha Dias</p>
<strong>Purification / Growth Conditions / Treatment:</strong> ddi-water ATCC (PYE) media;  cultured in 50ml flask; 7 days growth; see DPD notebook Sep 13-18, 2006</p>
<strong>Sample Preparation:</strong> box 697, grid 3; MeOH-washed Quantifoil R2/1; 10nm gold on grids & in suspension; offset -2, blot 1.5 sec, drain 1 sec; see DPD notebook Sep 18, 2006</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/pdd2006-09-20-1/rawdata/</p>CC06Sep20t01.mrc,  Tilt Series (Pixel Size 1.2 nm), 1.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/pdd2006-09-20-1/rawdata/CC06Sep20t01.mrc"
        > <i class="download icon"></i> Download </a></p>

        CC06Sep20t01_13kx.mrc,  Tilt Series (Pixel Size 1.2 nm), 8.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/pdd2006-09-20-1/rawdata/CC06Sep20t01_13kx.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3bkmx-73752
title: Myxococcus xanthus DK1622 wt

description: For T4P averaging
description: <strong>Tilt Series Date:</strong> 2013-08-26</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: (-65.0°, 65.0°), step: 1.0°, constant angular increment, dosage: 200.0 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 Martin Thanbichler</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 48 hr in CTT medium at 30 degrees without antibiotics. OD600=0.7</p>
<strong>Sample Preparation:</strong> Vitrobot settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. -3 offset, 4 sec blot time, no drain. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-08-26-58/rawdata/</p>20130826_DK1622_WT_20024.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-08-26-58/rawdata/20130826_DK1622_WT_20024.mrc"
        > <i class="download icon"></i> Download </a></p>

        20130826_DK1622_WT_20024_full.rec,  Reconstruction (Pixel Size 1.56 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-08-26-58/3dimage_30232/20130826_DK1622_WT_20024_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.jkw37d
title: Occurrence Download

description: A dataset containing 63064 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Canadian Museum of Nature Fish Collection"
 ]
}

 The dataset includes 63064 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005943-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bez98
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gavia adamsii (G.R.Gray, 1859))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019224-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15588784
title: Driver of the increased global rainfall erosivity shifted from rainfall amount to regime

description: ==============================================================

This dataset contains the data and code accompanying the paper:"Driver of the increased global rainfall erosivity shifted from rainfall amount to regime".

==============================================================
DOI: 10.5281/zenodo.15588785
title: Driver of the increased global rainfall erosivity shifted from rainfall amount to regime

description: ==============================================================

This dataset contains the data and code accompanying the paper:"Driver of the increased global rainfall erosivity shifted from rainfall amount to regime".

==============================================================
DOI: 10.15468/dl.ck8btr
title: Occurrence Download

description: A dataset containing 14204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaena mysticetus Linnaeus, 1758"
 ]
}

 The dataset includes 14204 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019225-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e6va4
title: Occurrence Download

description: A dataset containing 65195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia lens (L.) Coss. & Germ."
 ]
}

 The dataset includes 65195 records from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019203-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3kku3
title: Occurrence Download

description: A dataset containing 29131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Gavia adamsii (G.R.Gray, 1859))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 29131 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019226-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbf9br
title: Occurrence Download

description: A dataset containing 11839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Liatris punctata Hook."
 ]
}

 The dataset includes 11839 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019228-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gks37v
title: Occurrence Download

description: A dataset containing 160604 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynodon dactylon (L.) Pers."
 ]
}

 The dataset includes 160604 records from 1976 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019198-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/kq8m-7489
title: "Dataset of AI and Business Sustainabilty"

description: "This dataset includes original data gathered to study how adopting Artificial Intelligence (AI) affects business sustainability, along with important factors that influence this relationship. The dataset includes measurement items related to AI adoption, CP, IED, and business sustainability (BS). All items were measured using a 5-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). Structured questionnaires collected data from respondents in B2B enterprises, ensuring the reliability and validity of constructs through established scales from prior literature."
DOI: 10.17632/8x4yfg9yc8
title: Compliance to whale watching regulation_sightings and interviews

description: Whale watching tourism is a non-consumptive activity that can have negative effects on species and their habitats. Given the considerable growth of this activity, it is necessary to evaluate how it is practiced. This study aimed to determine the level of compliance with Mexican whale watching regulations in Banderas Bay, Mexico, and the differences related to whale grouping types, seasons, companies and vessels. Systematic observations conducted aboard tourist vessels found that tour operators do not comply with the regulations in 88% of sightings and that groups with calves were subject to the greatest tourism pressure. The causes of this non-compliance may derive from the lack of appropriate training, of commitment by operators, and supervision by the responsible authorities. The data obtained will be useful for the management of whale watching and improving the enforcement of the regulations by the competent authorities.
DOI: 10.17632/8x4yfg9yc8.1
title: Compliance to whale watching regulation_sightings and interviews

description: Whale watching tourism is a non-consumptive activity that can have negative effects on species and their habitats. Given the considerable growth of this activity, it is necessary to evaluate how it is practiced. This study aimed to determine the level of compliance with Mexican whale watching regulations in Banderas Bay, Mexico, and the differences related to whale grouping types, seasons, companies and vessels. Systematic observations conducted aboard tourist vessels found that tour operators do not comply with the regulations in 88% of sightings and that groups with calves were subject to the greatest tourism pressure. The causes of this non-compliance may derive from the lack of appropriate training, of commitment by operators, and supervision by the responsible authorities. The data obtained will be useful for the management of whale watching and improving the enforcement of the regulations by the competent authorities.
DOI: 10.17632/92n7gtrkhx.1
title: PhulMedic: A Bangladeshi Medicinal Flower Dataset

description: Dataset Overview:
A collection of 5,348 high-resolution images of ten medicinal flower species commonly found in Bangladesh, suitable for machine learning, deep learning, and computer vision research.

Data Source:
Images captured between May and June 2025 using various smartphone cameras (Xiaomi Redmi Note 10, Realme 7i, Samsung Galaxy M31, Xiaomi Redmi 12) at Daffodil International University and a cultivation field in Paikpara village, Chuadanga, with diverse lighting, angles, and natural backgrounds.

Applications:
Medicinal flower detection and classification
Automated flora identification systems
Herbal medicine research and documentation
Machine learning and computer vision projects

Dataset Breakdown:
Chrysanthemum: 506 images
Marigold: 497 images
Jasmine: 477 images
Hibiscus: 512 images
Plumeria: 490 images
Flame Tree: 535 images
Periwinkle: 594 images
Ixora: 621 images
Rose: 615 images
Sunflower: 501 images
DOI: 10.15468/dl.s52hjm
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan, Bangladesh, Pakistan, China, India, Myanmar, Afghanistan)",
 "TaxonKey is Hasora vitta (Butler, 1870)"
 ]
}

 The dataset includes 30 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022148-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/62281
title: Chandra X-ray Observatory ObsId 62281
DOI: 10.25574/62320
title: Chandra X-ray Observatory ObsId 62320
DOI: 10.25574/62899
title: Chandra X-ray Observatory ObsId 62899
DOI: 10.15468/dl.wc47ek
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Belgium, Luxembourg, Switzerland, Austria, Liechtenstein)",
 "Month is one of (June, July, August, September, October, November, December)",
 "TaxonKey is Nyctereutes procyonoides (Gray, 1834)",
 "Year 2023-2023"
 ]
}

 The dataset includes 173 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020052-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8a9zek
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Populus davidiana Dode"
 ]
}

 The dataset includes 1408 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020053-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2450624
title: Evolution of IT system and TEM camera performance

description: This Excel file collates throughput specifications of transmission electron microscopy (TEM) cameras, mass storage, network and memory between 1996 and 2018. The absolute and relative development of the throughput is analyzed in charts.
DOI: 10.5281/zenodo.2566137
title: Electron Bessel beam diffraction patterns, line scan of Si/SiGe multilayer

description: Electron diffraction patterns taken with a conical illumination (electron Bessel beams) and can be used to measure strain.

The experimental diffraction patterns, in DM3 format, are included in the file experimental_data.7z while FEM strain simulations for the same sample are in the file reference_strain_experimental.csv

Simulated diffraction patterns are included in the file simulated_patterns.7z while the strain in the model used is in the file reference_strain_simulated_patterns.csv

 

The two python scripts attached allow the extraction of the strain, and rely on the code published at:

https://bitbucket.org/lutosensis/tem-thesis/
description: {"references": ["Guzzinati et al. (2019), Electron Bessel beam diffraction for precise and accurate nanoscale strain mapping, Appl. Phys. Lett. 114, 243501"]}
DOI: 10.5281/zenodo.3592520
title: Simulated calibration dataset for 4D scanning transmission electron microscopy

description: 4D-STEM data frequently requires a number of calibrations in order to make accurate measurement: for instance, in various cases, it can be essential to measure and correct for diffraction shifts, account for ellipticity in the diffraction patterns, or determine the rotational offset between the real and diffraction planes. We've prepared a simulated 4D-STEM dataset which includes diffraction shifting, elliptical distortion, and an r-space/k-space rotational offset. Two HDF5 files each include the simulated data for two different electron probes: a standard probe, using a circular probe-forming aperture, and a 'bullseye' probe, using a patterned aperture. Each HDF5 file contains the following data objects: (a) the 'experimental' 4D-STEM scan of a strained single-crystal gold nanoparticle (size: (100,84,250,250) ) (b) a 4D-STEM scan of a calibration sample of polycrystalline gold (size: (100,84,250,250) ) (c) a stack of diffraction images of the electron probe over vacuum (size: (250,250,20) ) (d) a single image of the electron probe over the sample and far from focus, such that the CBED forms a shadow image (size: (512,512) )
description: {"references": ["Steven E. Zeltmann et al. (2019), Patterned Probes for High Precision Bragg Measurements, arXiv:1907.05504"]}
DOI: 10.5281/zenodo.4476506
title: Graphene simulated dataset

description: Graphene simulated dataset