cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/grbh0-zrx06
title: NR1769/R1-16 conjugation

description: Grid box YWC241
description: <strong>Tilt Series Date:</strong> 2017-01-30</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Escherichia coli</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: 170.0 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/ycw2017-01-30-8/rawdata/</p>20170130_YWC241_10008.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/ycw2017-01-30-8/rawdata/20170130_YWC241_10008.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170130_YWC241_10008_part121_1.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/ycw2017-01-30-8/3dimage_81615/20170130_YWC241_10008_part121_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/eq2mf-7kd16
title: E.coli minicell/Pul T2SS

description: grid box YWC252strain PAP5359 (minCDE knockout)Cells were grown on plate before freezing
description: <strong>Tilt Series Date:</strong> 2017-05-15</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Escherichia coli</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: 130.0 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 provided by Ingrid Guilvout in Olivera Francetic lab</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-05-15-9/rawdata/</p>20170515_YWC252b_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/ycw2017-05-15-9/rawdata/20170515_YWC252b_10012.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170515_YWC252b_10012_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/ycw2017-05-15-9/3dimage_84530/20170515_YWC252b_10012_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.y7b9v5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus verloreni Chakona, Swartz & Skelton, 2014",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022479-250525065834625/datasets/export for details.
DOI: 10.15468/dl.suvmq5
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon ×hybridum Voss"
 ]
}

 The dataset includes 152 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022478-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgsja6
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal Belgian Institute of Natural Sciences Belgian Marine Invertebrates collection"
 ]
}

 The dataset includes 135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022480-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12802681
title: Dataset accompanying the paper "Environmental stiffness regulates neuronal maturation via Piezo1-mediated Transthyretin activity"

description: Environmental stiffness regulates neuronal maturation via Piezo1-mediated TTR activity

Eva Kreysing1, 2, 3,*, Hélène Gautier1, Sudipta Mukherjee1,2, 3,,Katrin A Mooslehner1, 2, 3, Leila Muresan1,4, Daniel Haarhoff5, Xiaohui Zhao6, Alexander K Winkel1, Tina Borič2, 3, Sebastián Vásquez-Sepúlveda2, 3, Niklas Gampl2, 3, Andrea Dimitracopoulos1, Eva K. Pillai1, 7,8, Robert Humphrey1, 9, Ragnhildur Thóra Káradóttir9, *, and Kristian Franze1, 2, 3,*

 

1    Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK

2    Institute of Medical Physics and Microtissue Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestraße 91, 91052 Erlangen, Germany

3   Max-Planck-Zentrum für Physik und Medizin, Kussmaulallee 2, 91054 Erlangen, Germany

4   School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, CB1 1PT Cambridge, UK

5   Makespace Cambridge Ltd, 16 Mill Lane, Cambridge, CB2 1RX, UK

6   Department of Medicine, Cardiovascular Division, University of Cambridge, Heart and Lung Research Institute, CB2 0BB, Cambridge, UK

7   Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany;

8   Developmental Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.

9   Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK

*   Correspondence: Eva Kreysing (emk42@cam.ac.uk), Ragnhildur Thóra Káradóttir (rk385@cam.ac.uk), Kristian Franze (kf284@cam.ac.uk)
DOI: 10.5281/zenodo.16910231
title: Dataset accompanying the paper "Environmental stiffness regulates neuronal maturation via Piezo1-mediated Transthyretin activity"

description: Environmental stiffness regulates neuronal maturation via Piezo1-mediated TTR activity

Eva Kreysing1, 2, 3,*, Hélène Gautier1, Sudipta Mukherjee1,2, 3,,Katrin A Mooslehner1, 2, 3, Leila Muresan1,4, Daniel Haarhoff5, Xiaohui Zhao6, Alexander K Winkel1, Tina Borič2, 3, Sebastián Vásquez-Sepúlveda2, 3, Niklas Gampl2, 3, Andrea Dimitracopoulos1, Eva K. Pillai1, 7,8, Robert Humphrey1, 9, Ragnhildur Thóra Káradóttir9, *, and Kristian Franze1, 2, 3,*

 

1    Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3DY, UK

2    Institute of Medical Physics and Microtissue Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestraße 91, 91052 Erlangen, Germany

3   Max-Planck-Zentrum für Physik und Medizin, Kussmaulallee 2, 91054 Erlangen, Germany

4   School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, CB1 1PT Cambridge, UK

5   Makespace Cambridge Ltd, 16 Mill Lane, Cambridge, CB2 1RX, UK

6   Department of Medicine, Cardiovascular Division, University of Cambridge, Heart and Lung Research Institute, CB2 0BB, Cambridge, UK

7   Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany;

8   Developmental Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.

9   Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge Biomedical Campus, Puddicombe Way, Cambridge CB2 0AW, UK

*   Correspondence: Eva Kreysing (emk42@cam.ac.uk), Ragnhildur Thóra Káradóttir (rk385@cam.ac.uk), Kristian Franze (kf284@cam.ac.uk)
DOI: 10.6084/m9.figshare.27004783
title: Fast Ground Irradiance Computations for Agrivoltaics via Physics-Informed Deep Learning Models

description: The dataset consists of three main parts.
1) Geometry.zip contains top-view images of a PV plant (4 rows, 40 modules each) with a variation of the tilt angle. The top-view images reveal the geometry of the PV plant including the tilt angle. 
2) weather_header.epw is a wetaher file (TMY format) with selected weather parameters, as result of a special sampling strategy. 
3) raytracer_simulations.zip contains ground irradiance maps simulated using Radiance, for given weather and geometrical parameters. The file name of each simulation reveal the tilt angle and the index number, which is used to follow on the weather information in the given weather file.
DOI: 10.6084/m9.figshare.27004783.v1
title: Fast Ground Irradiance Computations for Agrivoltaics via Physics-Informed Deep Learning Models

description: The dataset consists of three main parts.
1) Geometry.zip contains top-view images of a PV plant (4 rows, 40 modules each) with a variation of the tilt angle. The top-view images reveal the geometry of the PV plant including the tilt angle. 
2) weather_header.epw is a wetaher file (TMY format) with selected weather parameters, as result of a special sampling strategy. 
3) raytracer_simulations.zip contains ground irradiance maps simulated using Radiance, for given weather and geometrical parameters. The file name of each simulation reveal the tilt angle and the index number, which is used to follow on the weather information in the given weather file.
DOI: 10.7266/n76w984r
title: Methane data from CTD - METS sensor (R/V Atlantis: AT26-13), Gulf of Mexico, March 31- April 21, 2014
DOI: 10.15468/dl.qx6726
title: Occurrence Download

description: A dataset containing 7214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tecomaria capensis (Thunb.) Spach"
 ]
}

 The dataset includes 7214 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022297-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8udcg
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 71 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022300-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fv5s6r
title: Occurrence Download

description: A dataset containing 18791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mareca strepera strepera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 18791 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050049-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a86xrc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Aristida diffusa",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019875-250525065834625/datasets/export for details.
DOI: 10.15468/dl.f2fsnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus crassicladus",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019876-250525065834625/datasets/export for details.
DOI: 10.15468/dl.hqypem
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus sp.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019877-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bermh5
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea acanthogene Rusby, Dioscorea alainii Raz, Dioscorea amazonum Mart. ex Griseb.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1534 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019874-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zpa8t
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arachnothryx chimboracensis (Standl.) Steyerm."
 ]
}

 The dataset includes 45 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019878-250525065834625/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/12057608
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15578921
title: Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis

description: We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. Note: Due to Zenodo updating their maximum file limit to 100 files, version 4 (v4) of this archive has been split into 5 compressed archive (tar.gz) files containing all previous and additional files. Version 4 of this archive (updated 03/06/2025) adds 4 files to the archive that were omitted in previous versions which have now been made available. These were: 



RNA_CD8_raw_counts.txt.gz

RNA_CD8_normalised_counts.txt.gz

RNA_CD14_raw_counts.txt.gz

RNA_CD14_normalised_counts.txt.gz 


--------------------------------------------------------------------------------------------------------------------------

RNA-seq/ATAC-seq/ChIPm/eRNA: Raw and normalised count data for each gene or epigenetic peak in CD4+ T cells, CD8+ T cells, and CD14+ monocytes from AS patients and healthy controls. File name is in the format: "modality_cell-type_raw/normalised_counts.txt.gz". Table S2 shows which experiments were performed on which samples. 

This data can be found in the "Raw_Counts.tar.gz" and "Normalised_Counts.tar.gz" archives. 

--------------------------------------------------------------------------------------------------------------------------

ChromHMM: We used ChromHMM to integrate epigenomic data into a 14-emission state model detailing chromatin functionality in AS patients and healthy controls. ChromHMM filenames are in the format: "ChromHMM_sampleID_celltype_n.bed.gz" where n is the number of states in the ChromHMM emission model.

This data can be found in the "ChromHMM_AS_HV.tar.gz" archive. 

--------------------------------------------------------------------------------------------------------------------------

Capture-C: We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: "CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg". We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: "PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt". gene_Pro and gene_SNP relate to the baitsets given in Table S8.

This data can be found in the "CapC_Count_Data.tar.gz" and "PeakY_regions.tar.gz" archives.
DOI: 10.5281/zenodo.6373353
title: Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis

description: We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. Note: Due to Zenodo updating their maximum file limit to 100 files, version 4 (v4) of this archive has been split into 5 compressed archive (tar.gz) files containing all previous and additional files. Version 4 of this archive (updated 03/06/2025) adds 4 files to the archive that were omitted in previous versions which have now been made available. These were: 



RNA_CD8_raw_counts.txt.gz

RNA_CD8_normalised_counts.txt.gz

RNA_CD14_raw_counts.txt.gz

RNA_CD14_normalised_counts.txt.gz 


--------------------------------------------------------------------------------------------------------------------------

RNA-seq/ATAC-seq/ChIPm/eRNA: Raw and normalised count data for each gene or epigenetic peak in CD4+ T cells, CD8+ T cells, and CD14+ monocytes from AS patients and healthy controls. File name is in the format: "modality_cell-type_raw/normalised_counts.txt.gz". Table S2 shows which experiments were performed on which samples. 

This data can be found in the "Raw_Counts.tar.gz" and "Normalised_Counts.tar.gz" archives. 

--------------------------------------------------------------------------------------------------------------------------

ChromHMM: We used ChromHMM to integrate epigenomic data into a 14-emission state model detailing chromatin functionality in AS patients and healthy controls. ChromHMM filenames are in the format: "ChromHMM_sampleID_celltype_n.bed.gz" where n is the number of states in the ChromHMM emission model.

This data can be found in the "ChromHMM_AS_HV.tar.gz" archive. 

--------------------------------------------------------------------------------------------------------------------------

Capture-C: We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: "CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg". We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: "PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt". gene_Pro and gene_SNP relate to the baitsets given in Table S8.

This data can be found in the "CapC_Count_Data.tar.gz" and "PeakY_regions.tar.gz" archives.
DOI: 10.5281/zenodo.6373354
title: Comprehensive epigenomic profiling reveals disease-specific chromatin states and enhances therapeutic target discovery in ankylosing spondylitis

description: We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. We used ChromHMM to integrate epigenomic data. ChromHMM filenames are in the format ChromHMM_sampleID_celltype_n.bed.gz where n is the number of states in the ChromHMM emission model. We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt gene_Pro and gene_SNP relate to the baitsets given in Table S8.
DOI: 10.5281/zenodo.6494345
title: Comprehensive epigenomic profiling reveals disease-specific chromatin states and enhances therapeutic target discovery in ankylosing spondylitis

description: We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. <strong>RNA-seq/ATAC-seq/ChIPm/eRNA: </strong>Raw and normalised count data for each gene or peak in CD4+ T cells, CD8+ T cells, and CD14+ monocytes from AS patients and healthy controls. File name is in the format modality_cell-type_raw/normalised_counts.txt.gz. Table S2 shows which experiments were performed on which samples. <strong>ChromHMM: </strong>We used ChromHMM to integrate epigenomic data. ChromHMM filenames are in the format ChromHMM_sampleID_celltype_n.bed.gz where n is the number of states in the ChromHMM emission model. <strong>Capture-C; </strong>We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg. We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt. gene_Pro and gene_SNP relate to the baitsets given in Table S8.
DOI: 10.5281/zenodo.7576256
title: Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis

description: We performed comprehensive epigenetic profiling in immune cell samples from patients with ankylosing spondylitis and healthy controls. <strong>RNA-seq/ATAC-seq/ChIPm/eRNA: </strong>Raw and normalised count data for each gene or peak in CD4+ T cells, CD8+ T cells, and CD14+ monocytes from AS patients and healthy controls. File name is in the format modality_cell-type_raw/normalised_counts.txt.gz. Table S2 shows which experiments were performed on which samples. <strong>ChromHMM: </strong>We used ChromHMM to integrate epigenomic data. ChromHMM filenames are in the format ChromHMM_sampleID_celltype_n.bed.gz where n is the number of states in the ChromHMM emission model. <strong>Capture-C; </strong>We performed Capture-C to detect chromosome looping interactions between gene promoters and SNPs associated with ankylosing spondylitis. Capture-C count data are shown in the format: CaptureC_celltype_gene_Pro/SNP_normalised.unionbdg. We used PeakY to calculate a score for each interaction. PeakY scores are given in the following format: PeakY_AS/HV_celltype_tier_chrloc_gene_Pro/SNP.txt. gene_Pro and gene_SNP relate to the baitsets given in Table S8.