cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8bjbm2
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ateles belzebuth É.Geoffroy Saint-Hilaire, 1806"
 ]
}

 The dataset includes 322 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021673-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv3q9h
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cadaba benguellensis Mendes"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076432-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgmepy
title: Occurrence Download

description: A dataset containing 2172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bison bonasus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2172 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015943-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc5gmg
title: Occurrence Download

description: A dataset containing 4096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oeneis jutta Hübner, 1806",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4096 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021677-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.carcsu
title: Occurrence Download

description: A dataset containing 1521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia kalkora (Roxb.) Prain",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1521 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015959-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqk9pb
title: Occurrence Download

description: A dataset containing 51070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthoathecata"
 ]
}

 The dataset includes 51070 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021678-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gu726
title: Occurrence Download

description: A dataset containing 235713 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Menyanthaceae"
 ]
}

 The dataset includes 235713 records from 947 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237876-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vim3x7
title: Occurrence Download

description: A dataset containing 653762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Zenaida asiatica (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 653762 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046442-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w59dj6
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana pedicellata (Wall. ex D.Don) Griseb."
 ]
}

 The dataset includes 301 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006665-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxuzur
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brochis splendens (Castelnau, 1855)"
 ]
}

 The dataset includes 92 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247719-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vl3qav
title: Occurrence Download

description: A dataset containing 205240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psilotopsida"
 ]
}

 The dataset includes 205240 records from 812 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046442-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/05193
title: Chandra X-ray Observatory ObsId 05193

description: Alternate - A STUDY OF QUASAR EVOLUTION WITH THE AID OF LENSING
DOI: 10.25574/05194
title: Chandra X-ray Observatory ObsId 05194

description: Alternate - A STUDY OF QUASAR EVOLUTION WITH THE AID OF LENSING
DOI: 10.25574/05196
title: Chandra X-ray Observatory ObsId 05196

description: The Cassiopeia A Explosion: Getting at the Core Issues
DOI: 10.25574/05197
title: Chandra X-ray Observatory ObsId 05197

description: The discrete X-ray source populations in an age sequence of nearby starburst galaxies
DOI: 10.25574/05240
title: Chandra X-ray Observatory ObsId 05240

description: Unveiling the multiwavelength spectrum of the AXP XTEJ1810-197
DOI: 10.25574/05241
title: Chandra X-ray Observatory ObsId 05241

description: A UNIFORM STUDY OF GLOBULAR CLUSTER X-RAY SOURCES: THE KEY TO CLUSTER DYNAMICAL EVOLUTION
DOI: 10.25574/05244
title: Chandra X-ray Observatory ObsId 05244

description: Characterization of quiescent X-ray emission from peculiar X-ray flash sources
DOI: 10.25574/05245
title: Chandra X-ray Observatory ObsId 05245

description: Towards a microlensing mapping of an accretion disk
DOI: 10.25574/05246
title: Chandra X-ray Observatory ObsId 05246

description: SN 2003jd; A GRB-like hypernova
DOI: 10.25574/05247
title: Chandra X-ray Observatory ObsId 05247

description: Understanding the nature of the unidentified EGRET source 3EG J1631-4033
DOI: 10.25574/05248
title: Chandra X-ray Observatory ObsId 05248

description: Chandra Observations of Optically Selected Type 2 Quasar Candidates
DOI: 10.25574/05249
title: Chandra X-ray Observatory ObsId 05249

description: AO4 CALIBRATION OBSERVATIONS TO MONITOR THE HRC LOW ENERGY QE
DOI: 10.25574/05250
title: Chandra X-ray Observatory ObsId 05250

description: A detailed Chandra study of the luminous lensing cluster MS2137.3-2353
DOI: 10.25574/05251
title: Chandra X-ray Observatory ObsId 05251

description: AO5A ACIS-S Calibration Observations of E0102-72
DOI: 10.25574/05252
title: Chandra X-ray Observatory ObsId 05252

description: AO5A ACIS-S Calibration Observations of E0102-72
DOI: 10.25574/05283
title: Chandra X-ray Observatory ObsId 05283

description: A CHANDRA SURVEY OF INFRARED-BRIGHT LINER GALAXIES
DOI: 10.5281/zenodo.11446259
title: Breast Masses Dataset with Precisely Annotated Sequential Mammograms

description: BREAST MASSES DATASET WITH PRECISELY ANNOTATED SEQUENTIAL MAMMOGRAMS

Citing the Dataset

The dataset is released under a Creative Commons Attribution license, so it is mandatory to cite the dataset if you use it in your work in any form. Published academic papers should use the academic paper citation of our paper. Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated.

Academic paper citation

Loizidou, K., Skouroumouni, G., Savvidou, G. et al. Subtraction of Temporally Sequential Digital Mammograms: Enhancing the Detection and Classification of Malignant Masses in Breast Imaging. IEEE Open Journal of Engineering in Medicine and Biology (2025). https://doi.org/10.1186/s41747-021-00238-w

Personal use citation

Include a link to this Zenodo page - 10.5281/zenodo.11446259

ACKNOWLEDGMENT

The publication of this paper is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739551 (KIOS CoE) and the Government of the Republic of Cyprus through the Cyprus Deputy Ministry of Research, Innovation and Digital Policy.

Contact Information

If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at cloizi01@ucy.ac.cy.

General Information

This dataset consists of 100 pairs of mammograms, from two temporally sequential rounds. Specifically, this dataset includes the prior and recent mammograms with two mammographic views for each patient. This is a complete dataset for the detection and classification of breast masses, using sequential mammograms. It contains normal (BI-RADS 1), benign (BI-RADS 2), and biopsy-confirmed malignant cases (BI-RADS 6). For each mammogram, an image with precise annotation of each individual mass, by two expert radiologists, is provided.

More details are available in the README.txt
description: Another dataset related only to breast micro-calcifications can be accessed here: 10.5281/zenodo.14859694 Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms
DOI: 10.5281/zenodo.7179855
title: Breast Masses Dataset with Precisely Annotated Sequential Mammograms

description: BREAST MASSES DATASET WITH PRECISELY ANNOTATED SEQUENTIAL MAMMOGRAMS

Citing the Dataset

The dataset is released under a Creative Commons Attribution license, so it is mandatory to cite the dataset if you use it in your work in any form. Published academic papers should use the academic paper citation of our paper. Personal works, such as projects or blog posts, should provide a URL to this Zenodo page, though a reference to our paper would also be appreciated.

Academic paper citation

Loizidou, K., Skouroumouni, G., Savvidou, G. et al. Subtraction of Temporally Sequential Digital Mammograms: Enhancing the Detection and Classification of Malignant Masses in Breast Imaging. IEEE Open Journal of Engineering in Medicine and Biology (2025). https://doi.org/10.1186/s41747-021-00238-w

Personal use citation

Include a link to this Zenodo page - 10.5281/zenodo.11446259

ACKNOWLEDGMENT

The publication of this paper is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739551 (KIOS CoE) and the Government of the Republic of Cyprus through the Cyprus Deputy Ministry of Research, Innovation and Digital Policy.

Contact Information

If you would like further information about the dataset, or if you experience any issues downloading files, please contact us at cloizi01@ucy.ac.cy.

General Information

This dataset consists of 100 pairs of mammograms, from two temporally sequential rounds. Specifically, this dataset includes the prior and recent mammograms with two mammographic views for each patient. This is a complete dataset for the detection and classification of breast masses, using sequential mammograms. It contains normal (BI-RADS 1), benign (BI-RADS 2), and biopsy-confirmed malignant cases (BI-RADS 6). For each mammogram, an image with precise annotation of each individual mass, by two expert radiologists, is provided.

More details are available in the README.txt
description: Another dataset related only to breast micro-calcifications can be accessed here: 10.5281/zenodo.14859694 Breast Micro-Calcifications Dataset with Precisely Annotated Sequential Mammograms
DOI: 10.5519/qd.lx4o0m8g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.25574/05286
title: Chandra X-ray Observatory ObsId 05286

description: Mapping the Depth of the Contaminant on the ACIS Filters with Abell 11795
DOI: 10.25574/05287
title: Chandra X-ray Observatory ObsId 05287

description: Mapping the Depth of the Contaminant on the ACIS Filters with Abell 11795
DOI: 10.25574/05288
title: Chandra X-ray Observatory ObsId 05288

description: Mapping the Depth of the Contaminant on the ACIS Filters with Abell 11795
DOI: 10.25574/05289
title: Chandra X-ray Observatory ObsId 05289

description: Mapping the Depth of the Contaminant on the ACIS Filters with Abell 11795
DOI: 10.25574/05290
title: Chandra X-ray Observatory ObsId 05290

description: Mapping the Depth of the Contaminant on the ACIS Filters with Abell 11795
DOI: 10.25574/05291
title: Chandra X-ray Observatory ObsId 05291

description: A Search for X-Ray Emission from the Double-Pulsar Binary System J0737-3039
DOI: 10.25574/05294
title: Chandra X-ray Observatory ObsId 05294

description: Chandra snapshot survey of 10 distant clusters of galaxies
DOI: 10.5281/zenodo.17954161
title: TROCR engineering drawinf training dataset

description: This dataset consists of synthetically generated images containing text and symbols commonly found in engineering drawings, blueprints, and CAD schematics. It was created to train Optical Character Recognition (OCR) models (specifically Transformer-based models like TrOCR) to recognize technical dimensioning standards under various orientations and noise conditions.

2. Dataset Content

The text labels are procedurally generated to simulate real-world engineering annotations. The vocabulary includes:





Linear Dimensions: Decimal numbers (e.g., 12.5, 450).




Geometric Symbols: Diameter (Ø, Φ) and Radius (R).




Tolerances: Explicit tolerance values (e.g., ±0.05, 10.0±0.2).




Angles: Degree measurements (e.g., 45°, 90°).




Thread Specifications: Metric thread callouts (e.g., M8×1.25).




Multipliers: Count indicators (e.g., 4×12.5).



3. Image Specifications





Resolution: 512 × 128 pixels.




Format: PNG images.




Color Space: RGB (though visually grayscale/monochrome).




Background: Randomized light gray (Pixel values: 235–255).




Text Color: Black.




Fonts Used:





DejaVu Sans




Liberation Sans (Regular)




Liberation Mono (Regular)





4. Augmentations & Variations

To ensure robustness, the dataset includes heavy augmentations applied via GPU processing:





Rotation: Text is not just horizontal. Images are rotated at specific angular increments: 0°, 15°, 30°, 45°, 60°, 75°, 90°, 105°, 135°. This simulates the multi-directional text found in technical drawings.




Gaussian Noise: Applied to 70% of the images (σ=10) to simulate scan grain.




Gaussian Blur: Applied to 30% of the images to simulate low-resolution scans or printing defects.



5. Dataset Structure & Statistics





Total Samples: 2,000 image-text pairs.




Split:





Training Set: 1,800 samples (90%)




Validation Set: 200 samples (10%)






File Organization:





dataset/train/images/: Images named img_00000.png.




dataset/train/labels/: Corresponding text files img_00000.txt.




tokenizer/: Custom RoBERTa-compatible tokenizer files (vocab.json, merges.txt) generated from the specific dataset vocabulary.
DOI: 10.5281/zenodo.17954160
title: TROCR engineering drawinf training dataset

description: This dataset consists of synthetically generated images containing text and symbols commonly found in engineering drawings, blueprints, and CAD schematics. It was created to train Optical Character Recognition (OCR) models (specifically Transformer-based models like TrOCR) to recognize technical dimensioning standards under various orientations and noise conditions.

2. Dataset Content

The text labels are procedurally generated to simulate real-world engineering annotations. The vocabulary includes:





Linear Dimensions: Decimal numbers (e.g., 12.5, 450).




Geometric Symbols: Diameter (Ø, Φ) and Radius (R).




Tolerances: Explicit tolerance values (e.g., ±0.05, 10.0±0.2).




Angles: Degree measurements (e.g., 45°, 90°).




Thread Specifications: Metric thread callouts (e.g., M8×1.25).




Multipliers: Count indicators (e.g., 4×12.5).



3. Image Specifications





Resolution: 512 × 128 pixels.




Format: PNG images.




Color Space: RGB (though visually grayscale/monochrome).




Background: Randomized light gray (Pixel values: 235–255).




Text Color: Black.




Fonts Used:





DejaVu Sans




Liberation Sans (Regular)




Liberation Mono (Regular)





4. Augmentations & Variations

To ensure robustness, the dataset includes heavy augmentations applied via GPU processing:





Rotation: Text is not just horizontal. Images are rotated at specific angular increments: 0°, 15°, 30°, 45°, 60°, 75°, 90°, 105°, 135°. This simulates the multi-directional text found in technical drawings.




Gaussian Noise: Applied to 70% of the images (σ=10) to simulate scan grain.




Gaussian Blur: Applied to 30% of the images to simulate low-resolution scans or printing defects.



5. Dataset Structure & Statistics





Total Samples: 2,000 image-text pairs.




Split:





Training Set: 1,800 samples (90%)




Validation Set: 200 samples (10%)






File Organization:





dataset/train/images/: Images named img_00000.png.




dataset/train/labels/: Corresponding text files img_00000.txt.




tokenizer/: Custom RoBERTa-compatible tokenizer files (vocab.json, merges.txt) generated from the specific dataset vocabulary.
DOI: 10.25574/05295
title: Chandra X-ray Observatory ObsId 05295

description: Shocks and Bubbles in the ICM: A Chandra Observation of 3C 388
DOI: 10.25574/05296
title: Chandra X-ray Observatory ObsId 05296

description: An Ultra-Deep Study of M101
DOI: 10.25574/05297
title: Chandra X-ray Observatory ObsId 05297

description: An Ultra-Deep Study of M101
DOI: 10.25574/05298
title: Chandra X-ray Observatory ObsId 05298

description: GRB 031203: A Possible Analogue to GRB980425/SN1998bw
DOI: 10.25574/05299
title: Chandra X-ray Observatory ObsId 05299

description: A Uniform Study of Globular Cluster X-ray Sources: The Keys to Cluster Dynamical Evolution
DOI: 10.25574/05300
title: Chandra X-ray Observatory ObsId 05300

description: An Ultra-Deep Study of M101
DOI: 10.25574/05301
title: Chandra X-ray Observatory ObsId 05301

description: Multiwavelength Reverberation Mapping of NGC 4395, the Least Luminous Seyfert 1 Galaxy
DOI: 10.25574/05302
title: Chandra X-ray Observatory ObsId 05302

description: Multiwavelength Reverberation Mapping of NGC 4395, the Least Luminous Seyfert 1 Galaxy
DOI: 10.25574/05303
title: Chandra X-ray Observatory ObsId 05303

description: Galactic Bulge Deep Survey
DOI: 10.15468/dl.dnuw8j
title: Occurrence Download

description: A dataset containing 3395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 3395 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/05304
title: Chandra X-ray Observatory ObsId 05304

description: X-Ray Bright Hickson Compact Groups: the Origin and Distribution of Metallicity and the Regulation of Cooling Flows
DOI: 10.25574/05306
title: Chandra X-ray Observatory ObsId 05306

description: Prompt Observation of the Type Ib/c Supernova 2001em
DOI: 10.25574/05307
title: Chandra X-ray Observatory ObsId 05307

description: A Star is Born: X-ray Imaging of the Onset of an FU Ori Outburst
DOI: 10.15468/dl.tsbcwd
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-59.656914 -28.687756, -59.736951 -28.693287, -59.815042 -28.709743, -59.889287 -28.736726, -59.957876 -28.773578, -60.019131 -28.819401, -60.071548 -28.873079, -60.113834 -28.933299, -60.144935 -28.99859, -60.164069 -29.067351, -60.170741 -29.137895, -60.164762 -29.208486, -60.146254 -29.277385, -60.115649 -29.342891, -60.073682 -29.403382, -60.021375 -29.457359, -59.96001 -29.503482, -59.891103 -29.540604, -59.816361 -29.567801, -59.737645 -29.584396, -59.656914 -29.589973, -59.576183 -29.584396, -59.497467 -29.567801, -59.422725 -29.540604, -59.353818 -29.503482, -59.292453 -29.457359, -59.240146 -29.403382, -59.198179 -29.342891, -59.167574 -29.277385, -59.149066 -29.208486, -59.143087 -29.137895, -59.149759 -29.067351, -59.168893 -28.99859, -59.199994 -28.933299, -59.24228 -28.873079, -59.294697 -28.819401, -59.355952 -28.773578, -59.424541 -28.736726, -59.498786 -28.709743, -59.576877 -28.693287, -59.656914 -28.687756))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054999-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17953689
title: Peer Support and Academic Performance among Higher Vocational College Students: The Mediating Roles of Learning Engagement and Achievement Goals
title: Date

description: A total of 450 questionnaires were distributed, and 384 were returned, 5 invalid questionnaires were excluded, resulting in 379 valid questionnaires.
DOI: 10.5281/zenodo.17689233
title: Peer Support and Academic Performance among Higher Vocational College Students: The Mediating Roles of Learning Engagement and Achievement Goals
title: Date

description: A total of 450 questionnaires were distributed, and 384 were returned, 5 invalid questionnaires were excluded, resulting in 379 valid questionnaires.
DOI: 10.25574/05308
title: Chandra X-ray Observatory ObsId 05308

description: A Star is Born: X-ray Imaging of the Onset of an FU Ori Outburst
DOI: 10.25574/05309
title: Chandra X-ray Observatory ObsId 05309

description: An Ultra-Deep Study of M101
DOI: 10.25574/05310
title: Chandra X-ray Observatory ObsId 05310

description: A Detailed Look at the Core of the Centaurus Cluster
DOI: 10.25574/05314
title: Chandra X-ray Observatory ObsId 05314

description: Is GRB 031203 a GRB-SN seen off axis?
DOI: 10.25574/05319
title: Chandra X-ray Observatory ObsId 05319

description: The Cassiopeia A Explosion: Getting at the Core Issues
DOI: 10.25574/05320
title: Chandra X-ray Observatory ObsId 05320

description: The Cassiopeia A Explosion: Getting at the Core Issues
DOI: 10.25574/05322
title: Chandra X-ray Observatory ObsId 05322

description: An Ultra-Deep Study of M101
DOI: 10.25574/05323
title: Chandra X-ray Observatory ObsId 05323

description: An Ultra-Deep Study of M101
DOI: 10.25574/05336
title: Chandra X-ray Observatory ObsId 05336

description: Chandra Studies of New Galactic Ejecta-Dominated SNRS
DOI: 10.25574/05337
title: Chandra X-ray Observatory ObsId 05337

description: An Ultra-Deep Study of M101
DOI: 10.25574/05338
title: Chandra X-ray Observatory ObsId 05338

description: An Ultra-Deep Study of M101
DOI: 10.25574/05339
title: Chandra X-ray Observatory ObsId 05339

description: An Ultra-Deep Study of M101