cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c59g5gr8j
title: MassIVE MSV000096544 - Protein Solubility Shifts Across Tauopathy Highlight Tau Associated Alterations of Protein Activity
title: INTRODUCTION: Neurodegenerative diseases including corticobasal degeneration (CBD), Picks disease (PiD) and progressive supranuclear palsy (PSP) share the pathology of aggregating tau. It is not known how tau aggregation alters the biochemical properties of other proteins in disease and how this alters disease processes. METHODS: We performed sarkosyl detergent fractionation of post-mortem human brain tissue to enrich soluble and insoluble proteins. This study included post-mortem brain tissue from n = 5 CBD, PiD and PSP patients. We assessed the difference in the soluble, and insoluble fractions and solubility between diseases, followed by enrichment and correlation analysis. RESULTS: We noted a significant overlap between CBD and PiD cases. PSP was the most divergent with 78 proteins differentially soluble between CBD and PSP. We observed critical changes in the solubility of lysosomal regulators, postsynaptic proteins, the extracellular matrix and mitochondrial proteins. DISCUSSION: We have contrasted the solubility patterns of proteins across three tauopathies for the first time. The changes in solubility reveal divergence in disease processes.
DOI: 10.15468/dl.tnnk6g
title: Occurrence Download

description: A dataset containing 11058434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China"
 ]
}

 The dataset includes 11058434 records from 4255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001700-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p87nns
title: Occurrence Download

description: A dataset containing 36404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lythrum salicaria L.",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 36404 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001959-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v94bj
title: Occurrence Download

description: A dataset containing 32693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is DEU.14_1",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 32693 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001960-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9eer2
title: Occurrence Download

description: A dataset containing 13639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lythrum salicaria L.",
 "Country is Canada",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13639 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001962-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14909698
title: Long-term gapless daily global OMI nitrogen dioxide vertical column density product between 2005–2023

description: A novel framework is developed to recover the missing pixels in the daily global ozone monitoring instrument (OMI) NO2 vertical column density (VCD) data from 2005–2023, which can exploit the temporal autocorrelation properties of data. Validation results show that the accuracy of recovered results is satisfactory and close to that of OMI (with a decrease in the correlation coefficient of 0.03) against the Pandonia Global Network sites. The recovered results also show a high consistency with the NO2 VCD data from tropospheric monitoring instrument. Furthermore, the spatial distributions of the recovered NO2 VCD on multi-temporal scales provide detailed information, clearly revealing regional and global spatial patterns and variations. This dataset offers long-term daily seamless NO2 VCD information across the globe, which can facilitate the detection of short-term NO2 changes to identify transitory emission sources and support the analysis of long-term NO2 concentration patterns to help continuously improve air quality and other relevant research.
DOI: 10.5281/zenodo.14909699
title: Long-term gapless daily global OMI nitrogen dioxide vertical column density product between 2005–2023

description: A novel framework is developed to recover the missing pixels in the daily global ozone monitoring instrument (OMI) NO2 vertical column density (VCD) data from 2005–2023, which can exploit the temporal autocorrelation properties of data. Validation results show that the accuracy of recovered results is satisfactory and close to that of OMI (with a decrease in the correlation coefficient of 0.03) against the Pandonia Global Network sites. The recovered results also show a high consistency with the NO2 VCD data from tropospheric monitoring instrument. Furthermore, the spatial distributions of the recovered NO2 VCD on multi-temporal scales provide detailed information, clearly revealing regional and global spatial patterns and variations. This dataset offers long-term daily seamless NO2 VCD information across the globe, which can facilitate the detection of short-term NO2 changes to identify transitory emission sources and support the analysis of long-term NO2 concentration patterns to help continuously improve air quality and other relevant research.
DOI: 10.5281/zenodo.14887162
title: Dataset associated with the manuscript 'Towards improving top-down national CO2 estimation in Europe: Potential from expanding the ICOS atmospheric network in Italy'.

description: Dataset associated with the manuscript 'Towards Improving Top-Down National CO₂ Estimation in Europe: Potential from Expanding the ICOS Atmospheric Network in Italy.' It includes statistical metrics (uncertainty reduction, bias reduction, R, RMSE) from a series of Observing System Simulation Experiments (OSSEs) performed using the LUMIA inversion system. Based on these metrics, we assessed the potential expansion of Italy’s ICOS atmospheric network.
DOI: 10.5281/zenodo.14887163
title: Dataset associated with the manuscript 'Towards improving top-down national CO2 estimation in Europe: Potential from expanding the ICOS atmospheric network in Italy'.

description: Dataset associated with the manuscript 'Towards Improving Top-Down National CO₂ Estimation in Europe: Potential from Expanding the ICOS Atmospheric Network in Italy.' It includes statistical metrics (uncertainty reduction, bias reduction, R, RMSE) from a series of Observing System Simulation Experiments (OSSEs) performed using the LUMIA inversion system. Based on these metrics, we assessed the potential expansion of Italy’s ICOS atmospheric network.
DOI: 10.5281/zenodo.14913256
title: parailia_spiniserrata_spades_01.fasta.gz
DOI: 10.5281/zenodo.14913257
title: parailia_spiniserrata_spades_01.fasta.gz
DOI: 10.15468/dl.nxgqgj
title: Occurrence Download

description: A dataset containing 49155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marrubium vulgare L.",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 49155 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001963-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28465493
title: Employee_Engagement_results.xlsx

description: This dataset contains anonymous survey responses examining the interplay of organizational pride, knowledge sharing, and perceived managerial support on employee engagement in Chinese traditional tertiary industries. Collected via an online questionnaire (n=233 total, 154 valid), the dataset includes demographic information (e.g., age, education), Likert-scale ratings for key engagement factors, and open-ended responses discussing workplace motivators and challenges. These results offer empirical insights into how generational and cultural nuances affect employee commitment, collaboration, and perceptions of managerial leadership in China. All personally identifiable information has been removed to protect participants’ privacy.
DOI: 10.6084/m9.figshare.28465493.v1
title: Employee_Engagement_results.xlsx

description: This dataset contains anonymous survey responses examining the interplay of organizational pride, knowledge sharing, and perceived managerial support on employee engagement in Chinese traditional tertiary industries. Collected via an online questionnaire (n=233 total, 154 valid), the dataset includes demographic information (e.g., age, education), Likert-scale ratings for key engagement factors, and open-ended responses discussing workplace motivators and challenges. These results offer empirical insights into how generational and cultural nuances affect employee commitment, collaboration, and perceptions of managerial leadership in China. All personally identifiable information has been removed to protect participants’ privacy.
DOI: 10.15468/dl.eq27nm
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca quinquenervia (Cav.) S.T.Blake",
 "Country is French Guiana",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001964-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6l9hhyl/0io3vb
title: Ruedin-Murahwa_Maria.pdf
DOI: 10.5064/f6l9hhyl/17eqgv
title: Ruedin-Murahwa_Kopano.pdf
DOI: 10.5064/f6l9hhyl/3zt8d5
title: Ruedin-Murahwa_Richard.pdf
DOI: 10.5064/f6l9hhyl/aaztjm
title: Ruedin-Murahwa_Ebrahim.pdf
DOI: 10.5064/f6l9hhyl/akjqqn
title: Ruedin-Murahwa_Emershan.pdf
DOI: 10.5064/f6l9hhyl/bkzmfa
title: Ruedin-Murahwa_Ferdinand.pdf
DOI: 10.5064/f6l9hhyl/bohd1x
title: Ruedin-Murahwa_Nicola.pdf
DOI: 10.5064/f6l9hhyl/chqtvo
title: Ruedin-Murahwa_Thomas.pdf
DOI: 10.5064/f6l9hhyl/cn0kep
title: Ruedin-Murahwa_Olivia.pdf
DOI: 10.5064/f6l9hhyl/dz8bia
title: Ruedin-Murahwa_CharacteristicsOfRepresentativesInterviewed.pdf
DOI: 10.5064/f6l9hhyl/fhbsua
title: Ruedin-Murahwa_Ryan.pdf
DOI: 10.5064/f6l9hhyl/h1rxia
title: Ruedin-Murahwa_Ethics_Checklist.pdf
DOI: 10.5064/f6l9hhyl/hqshr2
title: Ruedin-Murahwa_David.pdf
DOI: 10.5064/f6l9hhyl/isewwl
title: Ruedin-Murahwa_Declan.pdf
DOI: 10.5064/f6l9hhyl/lzwgun
title: Ruedin-Murahwa_Lily.pdf
DOI: 10.5064/f6l9hhyl/ngtv8w
title: Ruedin-Murahwa_Andrew.pdf
DOI: 10.5064/f6l9hhyl/nxivtp
title: Ruedin-Murahwa_Arnold.pdf
DOI: 10.5064/f6l9hhyl/o78gvz
title: Ruedin-Murahwa_Nicholas.pdf
DOI: 10.5064/f6l9hhyl/q5c5fp
title: Ruedin-Murahwa_Ali.pdf
DOI: 10.5064/f6l9hhyl/qusqb1
title: Ruedin-Murahwa_Danielle.pdf
DOI: 10.5064/f6l9hhyl/sz7bsv
title: Ruedin-Murahwa_Julia.pdf
DOI: 10.5064/f6l9hhyl/vcfdnt
title: Ruedin-Murahwa_Brendan.pdf
DOI: 10.5064/f6l9hhyl/vsqpvn
title: Ruedin-Murahwa_Bianca.pdf
DOI: 10.5064/f6l9hhyl/wlsyky
title: Ruedin-Murahwa_Roger.pdf
DOI: 10.5064/f6l9hhyl/wtv7ny
title: Ruedin-Murahwa_Sarah.pdf
DOI: 10.5064/f6l9hhyl/wwvkwd
title: Ruedin-Murahwa_Nelson.pdf
DOI: 10.5064/f6l9hhyl/xqhsd6
title: Ruedin-Murahwa_PoliticalRepresentation_InterviewQuestionnaire.pdf
DOI: 10.5064/f6l9hhyl/yrf3kf
title: README_Ruedin-Murahwa.txt
DOI: 10.5064/f6l9hhyl/7xemmz
title: Ruedin-Murahwa_Patrick.pdf
DOI: 10.5064/f6l9hhyl/qt5gf0
title: Ruedin-Murahwa_DataNarrative.pdf
DOI: 10.5064/f6l9hhyl/uhrgqv
title: Ruedin-Murahwa_PoliticalRepresentationPressures_InformedConsent.pdf
DOI: 10.15468/dl.hgza6u
title: Occurrence Download

description: A dataset containing 1329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca quinquenervia (Cav.) S.T.Blake",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1329 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001965-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u2j9s
title: Occurrence Download

description: A dataset containing 211820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Estrildidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)"
 ]
}

 The dataset includes 211820 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001957-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cd9j9k
title: Occurrence Download

description: A dataset containing 2477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "TaxonKey is Sorbus L.",
 "Year 1970-2020"
 ]
}

 The dataset includes 2477 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001966-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14913291
title: costus_obscurus_spades_01.fasta.gz
DOI: 10.5281/zenodo.14913292
title: costus_obscurus_spades_01.fasta.gz
DOI: 10.15468/dl.nq4kv4
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia calvescens DC.",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 249 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001967-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88387z
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miconia calvescens DC.",
 "Country is French Polynesia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 136 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001968-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqc5b8
title: Occurrence Download

description: A dataset containing 211820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Estrildidae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)"
 ]
}

 The dataset includes 211820 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001961-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13910206
title: Human Myeloma Cell Line (HMCL) NCATS MIPE 4.0 Drug Screen Dataset

description: Abstract

Multiple myeloma, a hematopoietic malignancy of terminally differentiated B cells, is the second most common hematological malignancy after leukemia. While patients have benefited from numerous advances in treatment in recent years resulting in significant increases to average survival time following diagnosis, myeloma remains incurable and relapse is common. To help identify novel therapeutic agents with efficacy against the disease and to search for biomarkers associated with differential response to treatment, a large-scale pharmacological screen was performed with 1,912 small molecule compounds tested at 11 doses for 47 human myeloma cell lines (HMCL). Raw and processed versions of the drug screen dataset are provided, as well as supportive information including drug and cell line metadata and high-level characterization of the most salient features of each. The dataset is publicly available at Zenodo and the workflow code used for data processing and generation of supporting figures and tables can be found at https://github.com/khughitt/hmcl-drug-screen-pipeline.

Overview

The dataset shared here contains the raw and processed versions of a high throughput small molecule screening dataset, as as supporting tables and figures.

The computational pipeline used to generate the dataset is available at: https://github.com/khughitt/hmcl-drug-screen-pipeline

Data organization

The .zip file available on Zenodo contains the complete output from the computational pipeline linked to above.

Data and figures are organized into subfolders relating to the various pipeline steps.

Files & folders:




drugs/
Drug curves, cell line x drug AC-50 matrix, and drug metadata tables.


manuscript/
Figures and tables generated by the pipeline for the manuscript, including the harmonized cell line metadata table ("table1.tsv")


mutations/


Cell line mutation predictions with identifiers harmonized to match those used in the drug screen (source: Keats Lab)



plates/


Drug screen viability measurements at different levels of processing, arranged with one column per plate ("raw.tsv", "raw_filtered.tsv", "normed.tsv", "background_adjusted.tsv"), plate-level metadata ("metadata.tsv"), the compued background plate ("background.tsv"), and plate images used for QA.



raw/
Raw version of the drug screen dataset, including the data for cell lines which were filtered out in the pipeline due to quality purposes


datapackage.yml


Metadata for the provided data resources including sha256 checksums, human-readible descriptions, column types, etc. (see: https://datapackage.org/)
DOI: 10.5281/zenodo.13910207
title: Human Myeloma Cell Line (HMCL) NCATS MIPE 4.0 Drug Screen Dataset

description: ABSTRACT: Multiple myeloma, a hematopoietic malignancy of terminally differentiated B cells, is the second most common hematological malignancy after leukemia. While patients have benefited from numerous advances in treatment in recent years resulting in significant increases to average survival time following diagnosis, myeloma remains incurable and relapse is common. To help identify novel therapeutic agents with efficacy against the disease and to search for biomarkers associated with differential response to treatment, a large-scale pharmacological screen was performed with 1,912 small molecule compounds tested at 11 doses for 47 human myeloma cell lines (HMCL). Raw and processed versions of the drug screen dataset are provided, as well as supportive information including drug and cell line metadata and high-level characterization of the most salient features of each. The dataset is publicly available at Zenodo and the workflow code used for data processing and generation of supporting figures and tables can be found at https://github.com/khughitt/hmcl-drug-screen-pipeline.
DOI: 10.5281/zenodo.14859847
title: Human Myeloma Cell Line (HMCL) NCATS MIPE 4.0 Drug Screen Dataset

description: Abstract

Multiple myeloma, a hematopoietic malignancy of terminally differentiated B cells, is the second most common hematological malignancy after leukemia. While patients have benefited from numerous advances in treatment in recent years resulting in significant increases to average survival time following diagnosis, myeloma remains incurable and relapse is common. To help identify novel therapeutic agents with efficacy against the disease and to search for biomarkers associated with differential response to treatment, a large-scale pharmacological screen was performed with 1,912 small molecule compounds tested at 11 doses for 47 human myeloma cell lines (HMCL). Raw and processed versions of the drug screen dataset are provided, as well as supportive information including drug and cell line metadata and high-level characterization of the most salient features of each. The dataset is publicly available at Zenodo and the workflow code used for data processing and generation of supporting figures and tables can be found at https://github.com/khughitt/hmcl-drug-screen-pipeline.

Overview

The dataset shared here contains the raw and processed versions of a high throughput small moleculescreening dataset, as as supporting tables and figures.

The computational pipeline used to generate the dataset is available at: https://github.com/khughitt/hmcl-drug-screen-pipeline

Data organization

The .zip file available on Zenodo contains the complete output from the computational pipeline linked to above.

Data and figures are organized into subfolders relating to the various pipeline steps.

Files & folders:




cell_viability/
Average cell line viability table


clusters/
Cell line and drug clustering results


combined_viability_matrices/
All viability measurements combined into one row per drug/cell; used infer drug-drug and cell-cell similarity matrices


drug_curves/
Table with one row per drug/cell line pair containing the curve fitting model input fit parameters


drug_plates/
Drug screen viability measurements at different levels of processing, arranged with one column per plate


drug_response_matrices/
Cell x drug matrices, with separate matrices reporting the viability measurements associated with each drug concentration,  as well as matrices containing inferred AC-50 and log AC-50 values.


fig/
Summary and quality assurance figures generated from the drug screen data


metadata/
Cell line, drug, and plate-level metadata


mutations/


Cell line mutation predictions with identifiers harmonized to match those used in the drug screen (source: Keats Lab)



projections/
Cell and drug similarity matrix PCA and UMAP projections


raw/
Raw version of the drug screen dataset, including the data for cell lines which were filtered out in the pipeline due to quality purposes


similarity/
Cell-cell and drug-drug similarity matrices


datapackage.yml


Metadata for the provided data resources including sha256 checksums, human-readible descriptions, column types, etc. (see: https://datapackage.org/)