cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/ieda/317380
title: Processed ship-based Navigation Data  from the Antarctic Peninsula acquired during the Laurence M. Gould expedition LMG1104 (2011)

description: This data set was acquired with a ship-based Navigation system during Laurence M. Gould expedition LMG1104 conducted in 2011 (Chief Scientist: Dr. Kristin O'Brien). These data files are of MGDS:Nav format and include Primary Navigation data and were processed after data collection. Data were acquired as part of the project(s): Western Peninsula Fishing, and funding was provided by NSF grant(s): ANT10-43781.
DOI: 10.15468/dl.4x6wfh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.598573 -34.471301, 148.598573 -34.473547, 148.603065 -34.473547, 148.603065 -34.471301, 148.598573 -34.471301)), ((148.603065 -34.473547, 148.603065 -34.475792, 148.605311 -34.475792, 148.605311 -34.473547, 148.603065 -34.473547)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071466-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ngy88a
title: Occurrence Download

description: A dataset containing 3571032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((121.1062 24.821, 121.8122 24.821, 121.8122 25.21568, 121.1062 25.21568, 121.1062 24.821))",
 "Year is greater than or equal to 2000",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3571032 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071463-240626123714530/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.26749622
title: Additional file 3 of PCSK9 inhibitors and osteoporosis: mendelian randomization and meta-analysis

description: Supplementary Material 3
DOI: 10.15468/dl.vvsces
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "TaxonKey is Glehnia littoralis (A.Gray) F.Schmidt ex Miq."
 ]
}

 The dataset includes 193 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cyvy2rn6c9.1
title: Supplementary Table for "The risk of different subtypes of psoriasis following an episode of guttate psoriasis"

description: Definition of study variables
DOI: 10.17632/5rd3pmz263.1
title: populism discussions on Zhihu

description: This dataset contains the discussion data of 30 populist issues on Chinese Q&A social platform Zhihu. Excel file is the sort of thread on the result page after searching with each issue as a keyword. The folder contains the discussion content under each thread.

ID in excel files: the ID number of threads;
question: the headline of threads;
abstract: the short description of threads;
id in folder files: the ID number of comments in a thread;
created time: the time on which the comment was published;
author: the username of comments' authors;
author_headline: profiles of authors' accounts;
content: the text of comments;
vote: the number of votes a comment receives;
comment_count: the number of secondary responses a comment receives.
DOI: 10.17632/mmknk3x2dt.1
title: Analysis of plasma proteomes from patients with hepatocellular carcinoma receiving combination therapy

description: proteinGroups.txt, SupplementaryData.R, SupplementaryData.RData
DOI: 10.5281/zenodo.13333825
title: nd-crane/trusted_ke: OMIn Dataset v1.0.0 - Initial Public Release

description: Release Notes: OMIn Dataset v1.0.0

We are excited to announce the release of the Operations and Maintenance Intelligence (OMIn) Dataset, a key contribution from our recent research publication. OMIn is the first open-source dataset curated specifically for knowledge extraction (KE) in the operation and maintenance domains.

Overview

The OMIn Dataset is based on raw FAA Accident/Incident data and has been meticulously curated to support KE in operations and maintenance. It features detailed textual descriptions of maintenance incidents, with particular emphasis on mentions of aircraft systems and domain-specific shorthand. This dataset includes:



Gold Standards: Prepared for Named Entity Recognition (NER), Coreference Resolution (CR), and Named Entity Linking (NEL).

Textual Descriptions: Rich narratives of maintenance incidents, long enough to provide context and valuable information for KE tasks.

Structured Data: Information on aircraft details, failure codes, and dates, enabling future work on integrated KE approaches that combine structured data with natural language text.


Significance

OMIn expands the portfolio of resources available in the operation and maintenance domains by offering comprehensive records on a variety of subject matters. It is designed to be a valuable baseline dataset due to its:



Variety and Depth: The dataset covers a wide range of incidents, each described in detail to offer context and facilitate knowledge extraction.

Versatility: While OMIn is rooted in aviation maintenance incident data, its structure and content make it applicable to many records or logs in the operation and maintenance sectors.


Community Invitation

By releasing OMIn, we aim to support the broader community in the maintenance and manufacturing domains. We invite researchers, practitioners, and developers to collaborate on this open-source KE dataset, helping to build a robust resource that advances the state of the art in the field.

How to Access

You can download the OMIn dataset directly from this repository or access it through Zenodo, where it has been assigned a DOI for reference in academic publications.
DOI: 10.5281/zenodo.13333824
title: nd-crane/trusted_ke: OMIn Dataset v1.0.0 - Initial Public Release

description: Release Notes: OMIn Dataset v1.0.0

We are excited to announce the release of the Operations and Maintenance Intelligence (OMIn) Dataset, a key contribution from our recent research publication. OMIn is the first open-source dataset curated specifically for knowledge extraction (KE) in the operation and maintenance domains.

Overview

The OMIn Dataset is based on raw FAA Accident/Incident data and has been meticulously curated to support KE in operations and maintenance. It features detailed textual descriptions of maintenance incidents, with particular emphasis on mentions of aircraft systems and domain-specific shorthand. This dataset includes:



Gold Standards: Prepared for Named Entity Recognition (NER), Coreference Resolution (CR), and Named Entity Linking (NEL).

Textual Descriptions: Rich narratives of maintenance incidents, long enough to provide context and valuable information for KE tasks.

Structured Data: Information on aircraft details, failure codes, and dates, enabling future work on integrated KE approaches that combine structured data with natural language text.


Significance

OMIn expands the portfolio of resources available in the operation and maintenance domains by offering comprehensive records on a variety of subject matters. It is designed to be a valuable baseline dataset due to its:



Variety and Depth: The dataset covers a wide range of incidents, each described in detail to offer context and facilitate knowledge extraction.

Versatility: While OMIn is rooted in aviation maintenance incident data, its structure and content make it applicable to many records or logs in the operation and maintenance sectors.


Community Invitation

By releasing OMIn, we aim to support the broader community in the maintenance and manufacturing domains. We invite researchers, practitioners, and developers to collaborate on this open-source KE dataset, helping to build a robust resource that advances the state of the art in the field.

How to Access

You can download the OMIn dataset directly from this repository or access it through Zenodo, where it has been assigned a DOI for reference in academic publications.
DOI: 10.17632/dn97v65krt.1
title: Table S1

description: Supplemental table 1 for manuscript titled 'ATLAS: A positive, high-yield review of patient symptoms most significantly associated with melanoma recurrence'
DOI: 10.17632/f426y3cbdg.3
title: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"

description: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"
DOI: 10.17632/f426y3cbdg.2
title: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"

description: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"
DOI: 10.17632/f426y3cbdg.1
title: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"

description: Supporting information for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"
DOI: 10.5517/ccdc.csd.cc2hz5c1
title: CCDC 2322903: Experimental Crystal Structure Determination

description: Related Article: Amjad Ali, Harish K. Harit, Chandana Behera, Ravi P. Singh|2024|Chem.Commun.|60|8904|doi:10.1039/D4CC02215G
description: Related Article: Amjad Ali|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/2tt48ykshm.1
title: Research data for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"

description: Research data for the manuscript entitled "The Clay-SRB (sulfate-reducing bacteria) system: dissolution and fractionation of REY"
DOI: 10.5281/zenodo.13332976
title: Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data

description: Dataset related to article "Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data"

 

 
description: Accurate inference of granular cell states that co-occur within the tumour microenvironment (TME) is central to defining pro- and anti-tumour environments. However, to reliably identify recurrent coexisting cell populations it is fundamental to analyze datasets encompassing a substantial number of tumour samples with a resolution sufficient to capture granular cell states. Here, we leverage eight scRNA-seq datasets of pancreatic ductal adenocarcinoma (PDAC) in a unique discovery-validation setup and find reproducible cell states, gene programs and cellular niches that are predictive of specific clinical outcomes. Across tumours, we show highly consistent co-occurrence of cell states within and between lineages, including those reflecting known and de novo cellular interactions alongside the formation of multi-cellular clusters such as tertiary lymphoid structures. In addition, we develop a novel probabilistic model to quantify multi-cellular communities from scRNAseq data. This model identified cellular niches predictive of clinical outcomes, and communities present preferentially in certain PDAC subtypes or with specific KRAS mutations. The possibility to infer cell states from large scRNA-seq atlases may facilitate the identification of novel co-occurrence patterns associated with prognosis and therapy response.
description: top_20_program_markers.tar.gz



Includes 8 .tsv files, each storing the weights for top 20 marker genes for the cell state programs for the respective cell type. 



grouped_scrna_for_zenodo.tar.gz



Includes 16 .rds files, each storing a SingleCellExperiment object for 4 patient cohorts and containing cells for one cell type.
DOI: 10.5281/zenodo.13332977
title: Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data

description: Dataset related to article "Decoding multicellular niche formation in the tumour microenvironment from nonspatial single-cell expression data"

 

 
description: Accurate inference of granular cell states that co-occur within the tumour microenvironment (TME) is central to defining pro- and anti-tumour environments. However, to reliably identify recurrent coexisting cell populations it is fundamental to analyze datasets encompassing a substantial number of tumour samples with a resolution sufficient to capture granular cell states. Here, we leverage eight scRNA-seq datasets of pancreatic ductal adenocarcinoma (PDAC) in a unique discovery-validation setup and find reproducible cell states, gene programs and cellular niches that are predictive of specific clinical outcomes. Across tumours, we show highly consistent co-occurrence of cell states within and between lineages, including those reflecting known and de novo cellular interactions alongside the formation of multi-cellular clusters such as tertiary lymphoid structures. In addition, we develop a novel probabilistic model to quantify multi-cellular communities from scRNAseq data. This model identified cellular niches predictive of clinical outcomes, and communities present preferentially in certain PDAC subtypes or with specific KRAS mutations. The possibility to infer cell states from large scRNA-seq atlases may facilitate the identification of novel co-occurrence patterns associated with prognosis and therapy response.
description: top_20_program_markers.tar.gz



Includes 8 .tsv files, each storing the weights for top 20 marker genes for the cell state programs for the respective cell type. 



grouped_scrna_for_zenodo.tar.gz



Includes 16 .rds files, each storing a SingleCellExperiment object for 4 patient cohorts and containing cells for one cell type.
DOI: 10.15468/dl.t83zjk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.963632 -34.469055, 146.963632 -34.473547, 146.95914 -34.473547, 146.95914 -34.478038, 146.963632 -34.478038, 146.963632 -34.475792, 146.965877 -34.475792, 146.965877 -34.469055, 146.963632 -34.469055))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071468-240626123714530/datasets/export for details.
DOI: 10.3886/e193134
title: Data and Code for: Preferences, access, and the STEM gender gap in centralized high school assignment

description: The gender gap in science, technology, engineering, and mathematics (STEM) widens during high school, due both to differences in student choices and institutional barriers to accessing STEM education. Using rich data from Mexico City's centralized assignment system and a structural model of high school choice, we document strong demand for elite STEM and relatively weak demand for non-elite STEM programs. Decomposition and counterfactual simulations demonstrate that most of the gap is due to gendered choices, with males more strongly preferring STEM. Test-based assignment restricts elite STEM access for females, who have lower placement test scores despite similar low-stakes exam scores.<br><br>
description: Public high school applicants in the Mexico City metropolitan area in years 2007 and 2008.<br>.
DOI: 10.6084/m9.figshare.26753671
title: Additional file 6 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 6
DOI: 10.15468/dl.bd454u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.970369 -34.473547, 146.970369 -34.478038, 146.972615 -34.478038, 146.972615 -34.473547, 146.970369 -34.473547))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071469-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26753677.v1
title: Additional file 8 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.26753674.v1
title: Additional file 7 of TaSPL6B, a member of the Squamosa promoter binding protein-like family, regulates shoot branching and florescence in Arabidopsis thaliana

description: Supplementary Material 7
DOI: 10.17632/r8vxsh9rwh.1
title: Prediction of phases and mechanical properties of magnesium-based high- entropy alloys using machine learning: A Data Paper

description: The data is of HEA of magnesium composed of Mg, Al, Cu, Mn and Zn. The first five columns represent percentages by weight of the Mg matrix and alloying elements. These were followed by ultimate tensile strength (UTS) and yield strength (Yield) in MPa. The next column presents Young's Modulus (E) in GPa. The columns that followed represented number of elements (Num_of_Elem), calculated alloy density (Density_calc) and diffusion and thermodynamic features. The features were: Enthalpy of mixing (dHmix), entropy of mixing (dSmix), change of Gibbs free energy of the mix (dGmix), melting temperature (Tm), number of parameters (n_Para), Atomic size difference (Atom_Size_Diff), electronegativity difference (Elect_Diff), valence electron concentration (VEC), alloy synthesis route (Synthesis_Route), hot or cold working processing (Hot_Cold_Working), homogenization temperature (Homogenization_Temp), homogenization time in hours (Homogenization_Time), annealing temperature in degrees Celcius (Annealing_Temp), Annealing time in hours (Annealing_Time), if quenching was done (Quenching), multiphases present in microstructure (Multiphase), intermetallic structure (IM_Structure), Phases, crystal structure (Structure).

The data underwent a thorough cleaning process, was scrutinized for any missing values, and subsequently encoded and transformed to suit machine learning applications. The selection of pertinent features was accomplished through techniques such as backward elimination, forward selection, and regularization. Feature engineering was employed to devise novel features like calculated density (Density_calc), entropy change upon mixing (dSmix), atomic size disparity (Atom_Size_Diff), electronegativity variance (Elect_Diff), and valence electron concentration (VEC). The iterative testing phase assessed the influence of these newly engineered features on the performance of the model, which contributed to the refinement of the results. 

The finalized dataset comprised 60 instances and 29 attributes. Tests for multicollinearity confirmed that the variance inflation factor (VIF) values remained within acceptable limits.
DOI: 10.17632/j29hrz5z7j.1
title: Efficacy and safety of low-dose Interleukin-2 in the treatment of moderate to severe bullous pemphigoid: a single center perspective-controlled trial

description: Supplemental material for " Efficacy and safety of low-dose Interleukin-2 in the treatment of moderate to severe bullous pemphigoid: a single center perspective-controlled trial"
DOI: 10.17632/tmvhgmjm9z.1
title: Targeting APT2 improves MAVS palmitoylation and antiviral innate immunity

description: Innate immunity serves as the primary defense against viral and microbial infections in humans. The precise influence of cellular metabolites, especially fatty acids, on antiviral innate immunity remains largely elusive. Here, through screening a metabolite library, palmitic acid (PA) has been identified as a key modulator of antiviral infections in human cells. Mechanistically, PA induces MAVS palmitoylation, aggregation and subsequent activation, thereby enhancing the innate immune response. The palmitoyl-transferase ZDHHC24 catalyzes MAVS palmitoylation, thereby boosting the TBK1-IRF3-IFN pathway, particularly under conditions of PA stimulation or high-fat diet feeding mouse models, leading to antiviral immune responses. Additionally, APT2 de-palmitoylates MAVS, thus inhibiting the antiviral signaling, suggesting that its inhibitors, such as ML349, effectively reverses MAVS activation in response to antiviral infections. These findings underscore the critical role of PA in regulating antiviral innate immunity through MAVS palmitoylation, and provide strategies of enhancing PA intake or targeting APT2 for combating viral infections.
DOI: 10.15468/dl.rhkamm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((79.95969136009765 7.141159134125939,79.99606504898432 7.141159134125939,79.99606504898432 7.1775328230126085,79.95969136009765 7.1775328230126085,79.95969136009765 7.141159134125939))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2010-2021"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071470-240626123714530/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.26749547
title: Additional file 7 of COPD, PRISm and lung function reduction affect the brain cortical structure: a Mendelian randomization study

description: Supplementary Material 7.
DOI: 10.15468/dl.756eh4
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KAZ.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pulsatilla patens (L.) Mill., Saxifraga sibirica L., Spiraea trilobata L., Stipa pennata L., Stipa zalesskyi Wilensky ex Grossh., Tulipa altaica Pall. ex Spreng., Tulipa biflora Pall.)"
 ]
}

 The dataset includes 196 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071471-240626123714530/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.26749562
title: Additional file 12 of COPD, PRISm and lung function reduction affect the brain cortical structure: a Mendelian randomization study

description: Supplementary Material 12.
DOI: 10.6084/m9.figshare.26749541.v1
title: Additional file 5 of COPD, PRISm and lung function reduction affect the brain cortical structure: a Mendelian randomization study

description: Supplementary Material 5.
DOI: 10.1594/ieda/320170
title: Underway Hydrographic, Weather and Ship-state Data (JGOFS) from Laurence M. Gould expedition LMG1306 (2013)

description: This data set was acquired with a ship-based Thermosalinograph, Echosounder Sonar, Navigation system, Fluorometer, and Meteorological Sensor during Laurence M. Gould expedition LMG1306 conducted in 2013 (Chief Scientist: Dr. Kristin O'Brien). These data files are of JGOFS format and include Meteorological, Bathymetry, Visible Radiation, Fluorescence, Infrared Radiation, Conductivity, Navigation, Salinity, and Temperature data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input.