cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/59zt6xr999.1
title: Gender based Prediction Equation to assess Aerobic Capacity in Chronic Obstructive Pulmonary Disease patients with Infection

description: This study investigates the prognostic role of functional assessment in chronic obstructive pulmonary disease (COPD) patients with infection, emphasizing the six-minute walk test (6MWT) as a practical substitute for cardiopulmonary exercise testing (CPET). The 6MWT is simple, inexpensive, and safer for patients unable to perform CPET, making it valuable in low-resource settings. While reduced six-minute walk distance (6MWD) is linked with COPD severity, its role in predicting infection-related exacerbations remains underexplored.

COPD is a progressive, irreversible disease marked by airflow limitation and frequent infections. It causes reduced lung function, exercise intolerance, and poor quality of life. Smoking is the main cause, though pollution, occupational exposures, and genetics also contribute. Exacerbations worsen prognosis and strain healthcare systems, especially where diagnostic tools are limited.

In this study, 80 clinically stable patients with infection-related exacerbations were evaluated using spirometry and the 6MWT. Peak oxygen uptake (VO₂ max) was estimated from walking distance. Demographic variables, body mass index, and symptom burden (mMRC and Borg scales) were recorded. Data were analyzed with non-parametric statistics and regression models.

The cohort was mostly middle-aged, with severe airflow limitation and a slight male predominance. Emphysema was the most common phenotype. The 6MWT revealed clear exertional limitation, with Borg scores indicating breathlessness. Walking distance strongly correlated with VO₂ max (r² &gt; 0.95) and FEV₁/FVC (r = 0.731, p &lt; 0.001). Gender explained most variance in VO₂ max, reflecting physiological differences in lung function and muscle mass. Both low and high BMI negatively affected performance, suggesting a U-shaped link between body composition and exercise capacity.

Clinically, results emphasize the complementary role of functional testing with spirometry. The 6MWT is reproducible, requires minimal infrastructure, and is ideal where CPET is unavailable. Gender-specific predictive equations developed in this study support individualized rehabilitation and safer exercise prescriptions. Embedding such models into digital platforms could extend monitoring to community and home care.

In conclusion, integrating 6MWT with spirometry provides a reliable, field-friendly approach for predicting aerobic capacity and managing infection-related exacerbations in COPD. This combined strategy supports personalized care, especially in resource-limited settings, and has potential to improve patient outcomes while reducing disease burden.
DOI: 10.22002/3559t-f4v19
title: P41 + P24

description: Raw data files of P41 + P24
description: <strong>Tilt Series Date:</strong> 2016-06-06</p>
<strong>Data Taken By:</strong> Songye Chen</p>
<strong>Species / Specimen:</strong> Mycoplasma pneumoniae</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 1.0°, 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> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Edward Sheppard from Duncan Krause's lab prepared the cell culture</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scy2016-06-06-69/rawdata/</p>at80030.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/scy2016-06-06-69/rawdata/at80030.mrc"
        > <i class="download icon"></i> Download </a></p>

        at80030_full.rec,  Reconstruction (Pixel Size 1.56 nm), 356.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scy2016-06-06-69/3dimage_75569/at80030_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/h1fr5-61w15
title: INS-1E with Mito-DsRed

description: CLEM and ECT.
description: <strong>Tilt Series Date:</strong> 2016-07-08</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Cells frozen by Zachary Freyberg at University of Pittsburgh. Collaboration established through Stephen Carter. I performed CryoLM, CLEM and ECT experiments.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-07-08-11/rawdata/</p>MitoTS_11_all.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-07-08-11/rawdata/MitoTS_11_all.mrc"
        > <i class="download icon"></i> Download </a></p>

        MitoTS_11-combined_DB.rec,  Reconstruction (Pixel Size 0.0 nm), 188.0 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-07-08-11/3dimage_82097/MitoTS_11-combined_DB.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3esac-atv82
title: Caulobacter del-tipN + Nal

description: delta-tipN (strain 5993)+ 20 mg/ml Nalidixic acid for 5hr
description: <strong>Tilt Series Date:</strong> 2017-11-30</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</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: 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 from Patrick Viollier</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-11-30-30/rawdata/</p>20171130_YWC267_10031.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/ycw2017-11-30-30/rawdata/20171130_YWC267_10031.mrc"
        > <i class="download icon"></i> Download </a></p>

        20171130_YWC267_10031_part121_12.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/ycw2017-11-30-30/3dimage_90866/20171130_YWC267_10031_part121_12.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/j43nf-5ax53
title: Caulobacter del-tipN + Nal

description: delta-tipN (strain 5993)+ 20 mg/ml Nalidixic acid for 5hr
description: <strong>Tilt Series Date:</strong> 2017-11-30</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</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: 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 from Patrick Viollier</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-11-30-1/rawdata/</p>20171130_YWC267_10001.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/ycw2017-11-30-1/rawdata/20171130_YWC267_10001.mrc"
        > <i class="download icon"></i> Download </a></p>

        20171130_YWC267_10001_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/ycw2017-11-30-1/3dimage_90807/20171130_YWC267_10001_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/98hmb-hb979
title: H.pylori 26695 delta-PAI

description: Grid box YWC258
description: <strong>Tilt Series Date:</strong> 2017-07-10</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-10-12/rawdata/</p>20170710_YWC258_10012.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/ycw2017-07-10-12/rawdata/20170710_YWC258_10012.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170710_YWC258_10012.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-10-12/3dimage_86699/20170710_YWC258_10012.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/wrnyk-q6z04
title: nanowires+type4pili+22500mag+-8d

description: These cells were imaged to detect nanowires (grown using serum bottles) but we did not find them. We found type 4 pili instead.
description: <strong>Tilt Series Date:</strong> 2015-03-06</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 55.0 eV/Å²,  defocus: -8.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Moh at USC</p>
<strong>Sample Preparation:</strong> manual blotting</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-03-06-7/rawdata/</p>atlas1_22500mag0008.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-03-06-7/rawdata/atlas1_22500mag0008.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas1_22500mag0008_full.rec,  Reconstruction (Pixel Size 1.92 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-03-06-7/3dimage_52744/atlas1_22500mag0008_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/mhckb-pbw30
title: Caulobacter del-tipN

description: delta-tipN (strain 5993)Grid box YWC266
description: <strong>Tilt Series Date:</strong> 2017-12-01</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</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: 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 from Patrick Viollier</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-12-01-1/rawdata/</p>20171201_YWC266_10001.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/ycw2017-12-01-1/rawdata/20171201_YWC266_10001.mrc"
        > <i class="download icon"></i> Download </a></p>

        20171201_YWC266_10001.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-12-01-1/3dimage_90875/20171201_YWC266_10001.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/h4a5y-xb852
title: Streptomyces albus

description: Sporulating Streptomyces
description: <strong>Tilt Series Date:</strong> 2015-04-19</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Streptomyces albus</p>
<strong>Strain:</strong> J1074</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Mark Buttner</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-19-34/rawdata/</p>Salbus20017.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-19-34/rawdata/Salbus20017.mrc"
        > <i class="download icon"></i> Download </a></p>

        Salbus20017_part121_10.rec,  Reconstruction (Pixel Size 2.4 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-04-19-34/3dimage_54601/Salbus20017_part121_10.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.17632/f9zvr9jkf2
title: Multi-omics Combined Detection Panel MTPC: Advancing Pleural Effusion Diagnosis

description: This study hypothesized integrating PTGER4/SHOX2 methylation, CEA/CYFRA21-1, DNA ploidy, and cytology into the MTPC multi-omics panel to improve pleural effusion diagnosis. It retrospectively collected 369 patients (264 malignant, 105 benign) from Oct 2022-Nov 2024, using biopsy/cytology as the gold standard. Key findings: CEA had 98.1% specificity, CYFRA21-1 56.8% sensitivity; combined PTGER4+SHOX2 had 65.9% sensitivity, 92.4% specificity; MTPC performed best (AUC=0.8698, 90.2% sensitivity, 83.8% specificity), cutting "cytology undetermined" by 78.4% and missed "negative" diagnoses by 92.3%. Data show MTPC resolves single-method limitations, aiding accurate benign/malignant differentiation for timely treatment.
DOI: 10.17632/f9zvr9jkf2.1
title: Multi-omics Combined Detection Panel MTPC: Advancing Pleural Effusion Diagnosis

description: This study hypothesized integrating PTGER4/SHOX2 methylation, CEA/CYFRA21-1, DNA ploidy, and cytology into the MTPC multi-omics panel to improve pleural effusion diagnosis. It retrospectively collected 369 patients (264 malignant, 105 benign) from Oct 2022-Nov 2024, using biopsy/cytology as the gold standard. Key findings: CEA had 98.1% specificity, CYFRA21-1 56.8% sensitivity; combined PTGER4+SHOX2 had 65.9% sensitivity, 92.4% specificity; MTPC performed best (AUC=0.8698, 90.2% sensitivity, 83.8% specificity), cutting "cytology undetermined" by 78.4% and missed "negative" diagnoses by 92.3%. Data show MTPC resolves single-method limitations, aiding accurate benign/malignant differentiation for timely treatment.
DOI: 10.22002/fjtfw-25084
title: H. pylori 26695 WT

description: grid box YWC259
description: <strong>Tilt Series Date:</strong> 2017-07-06</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 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 and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-06-171/rawdata/</p>20170706_YWC259_10201.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/ycw2017-07-06-171/rawdata/20170706_YWC259_10201.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170706_YWC259_10201.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-06-171/3dimage_86258/20170706_YWC259_10201.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/h8nsc-8tz89
title: P. aeruginosa T6SS minicell

description: Pseudomonas JT1599Grid box YWC247
description: <strong>Tilt Series Date:</strong> 2017-04-14</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Pseudomonas aeruginosa</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 120.0 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 Jonida Toska at John Mekalanos lab</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-45/rawdata/</p>20170414_YWC247_10054.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-45/rawdata/20170414_YWC247_10054.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170414_YWC247_10054_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/ycw2017-04-14-45/3dimage_83732/20170414_YWC247_10054_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5522/04/29973145
title: Extracted and NER-ed Pi Newspaper Articles

description: JSONL records for each issue of digitised Pi (student periodical from UCL Special Collections) at UCL*. The issues are grouped into folders by publication date.<i>*Disclaimer: The dataset was compiled by extracting articles from scanned images using an LLM model. Permission to do so was requested from UCL Library Services. However, the dataset cannot be used as an accurate representation/copy of the information published in Pi. The dataset should be used for educational purposes and for benchmarking future work on OCR-ing, semantic processing and information retrieval. </i>Each record is formatted using JSON resembling the Newswire dataset of historical newspapers for interoperability.Each JSONL file contains:a list of articles OCR-ed from high scanned images using OpenAI's LLM model (i.e. o4-mini-2025-04-16). Due to the limitation of the LLMs the dataset cannot be treated as complete or accurate.results of the Named Entity Recognition processing that used spaCy library with labels that are not limited to people and locations.list of Wikidata Q-IDs and labels for individuals in each article as linked by combining NER processing and Wikidata search query (with Fuzzy matching).list of geocoded locations mentioned in each article.list of the 12 topics an article is associated with using Newswire pre-trained topic classification models.Additional information is on:GitHub: Newspaper-OCR-LLM - https://github.com/kstepanyan/Newspaper-OCR-LLM/tree/mainGitHub: Newspaper-Semantic-Enrichment - https://github.com/kstepanyan/Newspaper-Semantic-Enrichment/tree/main/2-semantic-processingWikidata Project Page: https://www.wikidata.org/wiki/Wikidata:UCL_periodicals<br>Dataset: v. 0.1 (pilot)
DOI: 10.5522/04/29973145.v1
title: Extracted and NER-ed Pi Newspaper Articles

description: JSONL records for each issue of digitised Pi (student periodical from UCL Special Collections) at UCL*. The issues are grouped into folders by publication date.<i>*Disclaimer: The dataset was compiled by extracting articles from scanned images using an LLM model. Permission to do so was requested from UCL Library Services. However, the dataset cannot be used as an accurate representation/copy of the information published in Pi. The dataset should be used for educational purposes and for benchmarking future work on OCR-ing, semantic processing and information retrieval. </i>Each record is formatted using JSON resembling the Newswire dataset of historical newspapers for interoperability.Each JSONL file contains:a list of articles OCR-ed from high scanned images using OpenAI's LLM model (i.e. o4-mini-2025-04-16). Due to the limitation of the LLMs the dataset cannot be treated as complete or accurate.results of the Named Entity Recognition processing that used spaCy library with labels that are not limited to people and locations.list of Wikidata Q-IDs and labels for individuals in each article as linked by combining NER processing and Wikidata search query (with Fuzzy matching).list of geocoded locations mentioned in each article.list of the 12 topics an article is associated with using Newswire pre-trained topic classification models.Additional information is on:GitHub: Newspaper-OCR-LLM - https://github.com/kstepanyan/Newspaper-OCR-LLM/tree/mainGitHub: Newspaper-Semantic-Enrichment - https://github.com/kstepanyan/Newspaper-Semantic-Enrichment/tree/main/2-semantic-processingWikidata Project Page: https://www.wikidata.org/wiki/Wikidata:UCL_periodicals<br>Dataset: v. 0.1 (pilot)
DOI: 10.15468/dl.tf2qcd
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruppia drepanensis"
 ]
}

 The dataset includes 178 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046906-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.