cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29203928
title: Time-resolved multiomics profiling reveals chromatin O-GlcNAc modification promotes senescence-associated transcriptional program

description: O-GlcNAc modification acts as a fundamental cellular signal across a broad range of physiological and pathological contexts; however, its mechanistic impact on cellular senescence, particularly in coordinating the senescence-associated transcriptional landscape, has not been systematically elucidated. Here, we applied an integrative, time-resolved chemical genomics strategy to map the dynamic landscape of O-GlcNAc chromatin-associated proteins (OCPs) during the process of oncogene-induced senescence (OIS) in primary human fibroblasts. OIS progression is marked by the sustained accumulation of chromatin O-GlcNAc modifications, which drives cellular commitment to OIS. Dynamic multiomics profiling revealed that 1,987 senescence-associated OCPs undergo extensive shifts in genomic occupancy across diverse epigenetic chromatin states and exhibit bimodal, sequential regulatory activities within the 3,466-gene senescence transcriptome. O-GlcNAc serves as an important epigenetic determinant, facilitating the formation of dual-function complexes (TF-SWI/SNF and NuRD) that enable the activation of senescence-associated secretory phenotype (SASP) genes at promoters while enforcing the repression of cell cycle regulators at enhancers. Additionally, we identified O-GlcNAc-modified JUN and GATAD2A as key regulators of OIS phenotypes in both in vitro and in vivo models of senescence-driven tumorigenesis. Our findings reveal the dynamic regulation and chromatin organization principles of O-GlcNAc-related epigenetic factors, offering valuable insights into cellular senescence and potential therapeutic strategies.
DOI: 10.6084/m9.figshare.29203928.v1
title: Time-resolved multiomics profiling reveals chromatin O-GlcNAc modification promotes senescence-associated transcriptional program

description: O-GlcNAc modification acts as a fundamental cellular signal across a broad range of physiological and pathological contexts; however, its mechanistic impact on cellular senescence, particularly in coordinating the senescence-associated transcriptional landscape, has not been systematically elucidated. Here, we applied an integrative, time-resolved chemical genomics strategy to map the dynamic landscape of O-GlcNAc chromatin-associated proteins (OCPs) during the process of oncogene-induced senescence (OIS) in primary human fibroblasts. OIS progression is marked by the sustained accumulation of chromatin O-GlcNAc modifications, which drives cellular commitment to OIS. Dynamic multiomics profiling revealed that 1,987 senescence-associated OCPs undergo extensive shifts in genomic occupancy across diverse epigenetic chromatin states and exhibit bimodal, sequential regulatory activities within the 3,466-gene senescence transcriptome. O-GlcNAc serves as an important epigenetic determinant, facilitating the formation of dual-function complexes (TF-SWI/SNF and NuRD) that enable the activation of senescence-associated secretory phenotype (SASP) genes at promoters while enforcing the repression of cell cycle regulators at enhancers. Additionally, we identified O-GlcNAc-modified JUN and GATAD2A as key regulators of OIS phenotypes in both in vitro and in vivo models of senescence-driven tumorigenesis. Our findings reveal the dynamic regulation and chromatin organization principles of O-GlcNAc-related epigenetic factors, offering valuable insights into cellular senescence and potential therapeutic strategies.
DOI: 10.48668/mu3mfc/cvhckx
title: USSR_1956_ZS_1956-05_009_656_655_654.png

description: :unav
DOI: 10.15468/dl.5dd8ca
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azanus uranus"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018081-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/jjmms8
title: USSR_1956_ZS_1956-10_014_202_201_200.png

description: :unav
DOI: 10.48668/mu3mfc/narxuo
title: USSR_1956_ZS_1956-05_026_623_622_621.png

description: :unav
DOI: 10.6084/m9.figshare.28904978
title: Drylands plant invasions

description: This study's data collection was carried out with the support of the BIODESERT team; individual members will be acknowledged at a later stage.
DOI: 10.6084/m9.figshare.28904978.v1
title: Drylands plant invasions

description: This study's data collection was carried out with the support of the BIODESERT team; individual members will be acknowledged at a later stage.
DOI: 10.48668/mu3mfc/buakxe
title: USSR_1956_ZS_1956-07_024_540_539_538.png

description: :unav
DOI: 10.48668/mu3mfc/zlybz5
title: USSR_1956_ZS_1956-02_014_443_442_441.png

description: :unav
DOI: 10.48668/mu3mfc/jxivvq
title: USSR_1956_ZS_1956-09_040_31_30_29.png

description: :unav
DOI: 10.48668/mu3mfc/dnn856
title: USSR_1956_ZS_1956-07_021_529_528_527.png

description: :unav
DOI: 10.48668/mu3mfc/kuyhsv
title: USSR_1956_ZS_1956-04_016_702_701_700.png

description: :unav
DOI: 10.48668/mu3mfc/ic7klj
title: USSR_1956_ZS_1956-02_023_420_419_418.png

description: :unav
DOI: 10.48668/mu3mfc/e99sfa
title: USSR_1956_ZS_1956-03_024_330_329_328.png

description: :unav
DOI: 10.48668/mu3mfc/n24t5g
title: USSR_1956_ZS_1956-07_004_559_558_557.png

description: :unav
DOI: 10.15468/dl.rz9e3x
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropogon filifolius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 71 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018082-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/bkhmb1
title: USSR_1956_ZS_1956-09_040_209_208_207.png

description: :unav
DOI: 10.48668/mu3mfc/obp9rf
title: USSR_1956_ZS_1956-05_029_610_609_608.png

description: :unav
DOI: 10.48668/mu3mfc/ksj7xq
title: USSR_1956_ZS_1956-03_009_343_342_341.png

description: :unav
DOI: 10.48668/mu3mfc/wrmq2x
title: USSR_1956_ZS_1956-09_010_20_19_18.png

description: :unav
DOI: 10.48668/mu3mfc/ig6brj
title: USSR_1956_ZS_1956-02_044_386_385_384.png

description: :unav
DOI: 10.48668/mu3mfc/ths9bt
title: USSR_1956_ZS_1956-03_027_321_320_319.png

description: :unav
DOI: 10.48668/mu3mfc/oeds1s
title: USSR_1956_ZS_1956-08_020_286_285_284.png

description: :unav
DOI: 10.48668/mu3mfc/r9npxx
title: USSR_1956_ZS_1956-10_027_186_185_184.png

description: :unav
DOI: 10.5281/zenodo.18514138
title: SuperDARN data in netCDF format (2016-Jun)

description: 2016-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6423402
title: SuperDARN data in netCDF format (2016-Jun)

description: 2016-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.48668/mu3mfc/xnuxo2
title: USSR_1956_ZS_1956-10_001_213_212_211.png

description: :unav
DOI: 10.6084/m9.figshare.29971396
title: Brain and neural cell type proteomics reveal extracellular matrix proteins enriched in progressive multiple sclerosis

description: Progressive multiple sclerosis (PMS) is an autoimmune demyelinating disease of the central nervous system (CNS) in humans. PMS is defined by neuroinflammation and axonal damage with concurrent advancing neurological disability, although the underlying molecular mechanisms remain uncertain. To investigate the molecular basis of PMS, we used mass spectrometry to define proteomic profiles and specific protein changes in matched CNS tissues (cortex, white matter, and demyelinated lesions) from persons with PMS and age/sex-matched other disease controls (ODCs). These studies were examined further using proteomes of primary human neural cell types including neurons, astrocytes, microglia, oligodendrocyte progenitor cells (OPCs) and CNS tissues from PMS mouse models. Collagen-containing extracellular matrix (ECM) related proteins, including the annexin, S100, and AHNAK protein families, were significantly enriched in PMS white matter, especially within demyelinated lesions compared to matched ODC tissues. These enriched proteins showed increased abundance in astrocytes and microglia compared to neurons and OPCs. Annexin, S100, and AHNAK family proteins were also increased in the CNS of the cuprizone and experimental autoimmune encephalitis mouse models. These findings highlight the importance of ECM protein induction in CNS glial cells during PMS while also providing new diagnostic and therapeutic options for future investigation.
DOI: 10.6084/m9.figshare.29971396.v1
title: Brain and neural cell type proteomics reveal extracellular matrix proteins enriched in progressive multiple sclerosis

description: Progressive multiple sclerosis (PMS) is an autoimmune demyelinating disease of the central nervous system (CNS) in humans. PMS is defined by neuroinflammation and axonal damage with concurrent advancing neurological disability, although the underlying molecular mechanisms remain uncertain. To investigate the molecular basis of PMS, we used mass spectrometry to define proteomic profiles and specific protein changes in matched CNS tissues (cortex, white matter, and demyelinated lesions) from persons with PMS and age/sex-matched other disease controls (ODCs). These studies were examined further using proteomes of primary human neural cell types including neurons, astrocytes, microglia, oligodendrocyte progenitor cells (OPCs) and CNS tissues from PMS mouse models. Collagen-containing extracellular matrix (ECM) related proteins, including the annexin, S100, and AHNAK protein families, were significantly enriched in PMS white matter, especially within demyelinated lesions compared to matched ODC tissues. These enriched proteins showed increased abundance in astrocytes and microglia compared to neurons and OPCs. Annexin, S100, and AHNAK family proteins were also increased in the CNS of the cuprizone and experimental autoimmune encephalitis mouse models. These findings highlight the importance of ECM protein induction in CNS glial cells during PMS while also providing new diagnostic and therapeutic options for future investigation.
DOI: 10.48668/mu3mfc/jn4d3d
title: USSR_1956_ZS_1956-01_021_57_56_55.png

description: :unav
DOI: 10.48668/mu3mfc/ompy9c
title: USSR_1956_ZS_1956-04_011_302_301_300.png

description: :unav
DOI: 10.6084/m9.figshare.30379255
title: Super-broadband stimulated Raman scattering spectroscopy and imaging

description: A representative raw data example (one image data block and its corresponding analysis code) of Fig. 4.
The entire Raman spectral dataset of Fig. 4, including the raw dataset and a SVD-denoised version.
The single-cell spectra and corresponding analysis code for Fig. 4.
All raw serum profiling data, including the SuperB-SRS spectra from ~2,600 clinical samples and their corresponding clinical reports, along with the analysis code for Fig. 5.
DOI: 10.6084/m9.figshare.30379255.v1
title: Super-broadband stimulated Raman scattering spectroscopy and imaging

description: A representative raw data example (one image data block and its corresponding analysis code) of Fig. 4.
The entire Raman spectral dataset of Fig. 4, including the raw dataset and a SVD-denoised version.
The single-cell spectra and corresponding analysis code for Fig. 4.
All raw serum profiling data, including the SuperB-SRS spectra from ~2,600 clinical samples and their corresponding clinical reports, along with the analysis code for Fig. 5.
DOI: 10.48668/mu3mfc/1brrsh
title: USSR_1956_ZS_1956-03_004_353_352_351.png

description: :unav
DOI: 10.48668/mu3mfc/bva8qq
title: USSR_1956_ZS_1956-01_043_463_462_461.png

description: :unav
DOI: 10.48668/mu3mfc/wq3kga
title: USSR_1956_ZS_1956-04_031_685_684_683.png

description: :unav
DOI: 10.48668/mu3mfc/riv9jh
title: USSR_1956_ZS_1956-03_012_348_347_346.png

description: :unav
DOI: 10.48668/mu3mfc/xufw8b
title: USSR_1956_ZS_1956-05_007_650_649_648.png

description: :unav
DOI: 10.48668/mu3mfc/2jzp4h
title: USSR_1956_ZS_1956-01_040_465_464_463.png

description: :unav
DOI: 10.6084/m9.figshare.29213147
title: A Realistic Rwandan Communty Health Worker Generated Vingette-based (I.e., Open-ended Questions) Benchmarking Dataset (with Associated Clinician and LLM Responses)

description: The full dataset of 5,609 clinical vignettes contributed by 101 community health workers (CHWs) across four Rwandan districts is available upon request from The Centre for the Fourth Industrial Revolution, the innovation lab for the Rwandan Government. Prospective users should contact ‘info@c4ir.rw’ to request access.

This subset of 524 questions, answers, and individual evaluation results comprises the data used in a benchmarking study to compare responses generated by five large language models (LLMs) (Gemini-2, GPT-4o, o3 mini, Deepseek R1, and Meditron-70B) with those from local clinicians. The results were generated by applying a rubric of 11 expert-rated metrics, each scored on a five-point Likert scale. 

The associated benchmarking study, titled 'How Good Are Large Language Models at Supporting Frontline Healthcare Workers in Low-Resource Settings – A Benchmarking Study & Dataset,' contains detailed descriptions of how this data was generated and the evaluations conducted.
DOI: 10.6084/m9.figshare.29213147.v1
title: A Realistic Rwandan Communty Health Worker Generated Vingette-based (I.e., Open-ended Questions) Benchmarking Dataset (with Associated Clinician and LLM Responses)

description: The full dataset of 5,609 clinical vignettes contributed by 101 community health workers (CHWs) across four Rwandan districts is available upon request from The Centre for the Fourth Industrial Revolution, the innovation lab for the Rwandan Government. Prospective users should contact ‘info@c4ir.rw’ to request access.

This subset of 524 questions, answers, and individual evaluation results comprises the data used in a benchmarking study to compare responses generated by five large language models (LLMs) (Gemini-2, GPT-4o, o3 mini, Deepseek R1, and Meditron-70B) with those from local clinicians. The results were generated by applying a rubric of 11 expert-rated metrics, each scored on a five-point Likert scale. 

The associated benchmarking study, titled 'How Good Are Large Language Models at Supporting Frontline Healthcare Workers in Low-Resource Settings – A Benchmarking Study & Dataset,' contains detailed descriptions of how this data was generated and the evaluations conducted.
DOI: 10.48668/mu3mfc/zl3ggu
title: USSR_1956_ZS_1956-04_026_689_688_687.png

description: :unav
DOI: 10.48668/mu3mfc/4mdkyr
title: USSR_1956_ZS_1956-06_002_616_615_614.png

description: :unav
DOI: 10.48668/mu3mfc/wlnkgu
title: USSR_1956_ZS_1956-05_030_620_619_618.png

description: :unav
DOI: 10.48668/mu3mfc/mvce6s
title: USSR_1956_ZS_1956-02_054_372_371_370.png

description: :unav
DOI: 10.48668/mu3mfc/njnntx
title: USSR_1956_ZS_1956-02_031_407_406_405.png

description: :unav
DOI: 10.48668/mu3mfc/mxe7iq
title: USSR_1956_ZS_1956-05_014_632_631_630.png

description: :unav
DOI: 10.6084/m9.figshare.30878738
title: Dynamins maintain nuclear envelope homeostasis and genome stability

description: Aveleira et al Source Data Main Figures
DOI: 10.6084/m9.figshare.30878738.v1
title: Dynamins maintain nuclear envelope homeostasis and genome stability

description: Aveleira et al Source Data Main Figures
DOI: 10.48668/mu3mfc/8g0lsc
title: USSR_1956_ZS_1956-01_014_504_503_502.png

description: :unav
DOI: 10.48668/mu3mfc/gcbheo
title: USSR_1956_ZS_1956-05_023_631_630_629.png

description: :unav
DOI: 10.48668/mu3mfc/igu9wv
title: USSR_1956_ZS_1956-02_043_382_381_380.png

description: :unav
DOI: 10.15468/dl.84bx3y
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rapala lankana"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018085-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/mgbwti
title: USSR_1956_ZS_1956-05_002_663_662_661.png

description: :unav
DOI: 10.15468/dl.74jkub
title: Occurrence Download

description: A dataset containing 16283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 1999"
 ]
}

 The dataset includes 16283 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018084-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/93qngm
title: USSR_1956_ZS_1956-01_047_451_450_449.png

description: :unav
DOI: 10.48668/mu3mfc/ck586c
title: USSR_1956_ZS_1956-07_014_547_546_545.png

description: :unav
DOI: 10.48668/mu3mfc/f1kfy7
title: USSR_1956_ZS_1956-08_021_282_281_280.png

description: :unav
DOI: 10.6084/m9.figshare.30563531
title: Dynamic oxygen vacancy engineering on CuO via refreshable catalytic surface for high-efficient water decontamination

description: The source data for all the numerical data were uploaded as an Excel document, named "Source Data for all numerical data", and the optimized computational DFT models were uploaded as .txt files, naming each file with their name used in the main text. All these source data have collected in a zipped folder for final uploading, named "Source Data".
DOI: 10.6084/m9.figshare.30563531.v1
title: Dynamic oxygen vacancy engineering on CuO via refreshable catalytic surface for high-efficient water decontamination

description: The source data for all the numerical data were uploaded as an Excel document, named "Source Data for all numerical data", and the optimized computational DFT models were uploaded as .txt files, naming each file with their name used in the main text. All these source data have collected in a zipped folder for final uploading, named "Source Data".
DOI: 10.6084/m9.figshare.30858791
title: Reconfigurable All-Solid-State Topological Lasing at Arbitrary Sites

description: Fig. 3 and 4 data
DOI: 10.6084/m9.figshare.30858791.v1
title: Reconfigurable All-Solid-State Topological Lasing at Arbitrary Sites

description: Fig. 3 and 4 data
DOI: 10.48668/mu3mfc/x5tggj
title: USSR_1956_ZS_1956-08_027_288_287_286.png

description: :unav
DOI: 10.48668/mu3mfc/b0zbph
title: USSR_1956_ZS_1956-12_001_138_137_136.png

description: :unav
DOI: 10.5281/zenodo.18514681
title: EFFICIENT TECHNOLOGY IN CULTIVATION OF SECONDARY CROPS
DOI: 10.5281/zenodo.18514680
title: EFFICIENT TECHNOLOGY IN CULTIVATION OF SECONDARY CROPS
DOI: 10.48668/mu3mfc/vg4yua
title: USSR_1956_ZS_1956-02_037_400_399_398.png

description: :unav
DOI: 10.48668/mu3mfc/pwrqnl
title: USSR_1956_ZS_1956-11_025_151_150_149.png

description: :unav
DOI: 10.48668/mu3mfc/sbsqnr
title: USSR_1956_ZS_1956-05_027_621_620_619.png

description: :unav
DOI: 10.15468/dl.v7s4r7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropogon piptostachyus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018086-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/jztvum
title: USSR_1956_ZS_1956-02_012_435_434_433.png

description: :unav
DOI: 10.48668/mu3mfc/et0fof
title: USSR_1956_ZS_1956-02_038_393_392_391.png

description: :unav
DOI: 10.48668/mu3mfc/qbfc0z
title: USSR_1956_ZS_1956-09_011_254_253_252.png

description: :unav
DOI: 10.48668/mu3mfc/nsyud0
title: USSR_1956_ZS_1956-02_049_388_387_386.png

description: :unav
DOI: 10.48668/mu3mfc/ibfvjw
title: USSR_1956_ZS_1956-06_027_577_576_575.png

description: :unav
DOI: 10.48668/mu3mfc/iyg4pa
title: USSR_1956_ZS_1956-08_024_283_282_281.png

description: :unav
DOI: 10.15468/dl.5ze9g7
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burara gomata"
 ]
}

 The dataset includes 509 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018087-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/mu3mfc/qy9om6
title: USSR_1956_ZS_1956-11_023_146_145_144.png

description: :unav
DOI: 10.48668/mu3mfc/rklaqq
title: USSR_1956_ZS_1956-04_009_300_299_298.png

description: :unav
DOI: 10.48668/mu3mfc/kksnyi
title: USSR_1956_ZS_1956-02_048_377_376_375.png

description: :unav
DOI: 10.48668/mu3mfc/crbcjj
title: USSR_1956_ZS_1956-08_019_285_284_283.png

description: :unav
DOI: 10.6084/m9.figshare.30879488
title: Visualization and quantification of lattice strain in battery cathode particles through electron backscatter diffraction imaging

description: Source data for Wang et al, Visualization and quantification of lattice strain in battery cathode particles through electron backscatter diffraction imaging, 2025