cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13kjr2t
title: National Petroleum Reserve-Alaska (NPRA) Legacy Data Archive: 1944-1982 Exploration and Seismic Data

description: The National Petroleum Reserve-Alaska (NPRA) Legacy Data Archive contains geological and geophysical data collected during two extensive exploration programs, operated first by the U.S. Navy (1944-1953) and later by the U.S. Geological Survey (USGS) (1974-1982). This dataset includes records from 36 test wells, 45 core tests, and over 12,000 line miles of seismic data, along with a wide array of analyses and documents generated during the exploration of the NPRA. The archive serves as a vital resource for understanding the geophysical characteristics of the NPRA region and supports ongoing and future research. Future updates will replace low-resolution images with higher-quality versions, provide Section 508-compliant documents, cross reference data with the USGS Core Research Center and further documentation in this metadata.
DOI: 10.17632/3ycbk7wk8p.1
title: Thermogenic Gene Expression in Human Neck Adipose Tissue in Relation to Circulating and Local Thyroid Hormone Levels

description: This repository includes supplemental data from our study "Thermogenic gene expression in human neck adipose tissue in relation to circulating and local thyroid hormone levels".
DOI: 10.17632/pk3vgmdd4s.1
title: Bibliogaphic Data for Biopolymer Coatings

description: The Mendeley Data Repository is a widely used open-access platform for sharing, storing, and managing research datasets across multiple disciplines. For a bibliometric study on biopolymer coatings, Mendeley Data can serve as a valuable repository for collecting, organizing, and analyzing bibliographic data related to publications on this topic. The bibliographic dataset for biopolymer coatings is intended to support bibliometric analyses, such as citation trends, keyword co-occurrence, research impact, and collaboration networks. Researchers can use this data to map scientific advancements, identify key contributors, and explore thematic trends in the field of biopolymer-based food coatings.
DOI: 10.15468/dl.5ztym4
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Solanum chenopodioides Lam."
 ]
}

 The dataset includes 240 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023827-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4s8du
title: Occurrence Download

description: A dataset containing 7478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelagia noctiluca (Forsskål, 1775)"
 ]
}

 The dataset includes 7478 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023826-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/frjs435wc8.1
title: Datasets and R Markdown files for the article "Survey on critical results management in Brazilian clinical laboratories: Profiling practices through multivariate analysis, prioritization, and a 'New Statistics' approach" submitted to Clinica Chimica Acta

description: This repository contains supplementary materials related to the study "𝐒𝐮𝐫𝐯𝐞𝐲 𝐨𝐧 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐁𝐫𝐚𝐳𝐢𝐥𝐢𝐚𝐧 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐢𝐞𝐬: 𝐏𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐦𝐮𝐥𝐭𝐢𝐯𝐚𝐫𝐢𝐚𝐭𝐞 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐚 '𝐍𝐞𝐰 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬' 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡". The dataset, figures, exported results, and analysis scripts are included to ensure full transparency and reproducibility of the research findings.

𝐅𝐨𝐥𝐝𝐞𝐫 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞

1_𝐃𝐚𝐭𝐚𝐬𝐞𝐭/
This folder contains the dataset used in the study, formatted for direct use in the Feature Priorizer R Markdown script.

2_𝐅𝐢𝐠𝐮𝐫𝐞𝐬/
All figures generated by the Feature Priorizer are stored here in 600 DPI resolution, ensuring high-quality graphics for publication and analysis.

3_𝐄𝐱𝐩𝐨𝐫𝐭𝐞𝐝/
This folder contains the exported results, including statistical outputs, tables, and processed datasets derived from the analyses.

4_𝐒𝐮𝐩𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐫𝐲_𝐅𝐢𝐥𝐞𝐬/
This folder contains auxiliary files used in generating the Feature Priorizer HTML report, ensuring an enhanced visual presentation and incorporating dynamic statistical quotes.
– 𝐬𝐭𝐲𝐥𝐞𝐬.𝐜𝐬𝐬: Defines the formatting of the HTML report, ensuring a consistent visual presentation.
logo.html, logo.png, logo.txt – Files related to the project's visual identity.
– 𝐒𝐜𝐢𝐞𝐧𝐜𝐞_𝐒𝐭𝐚𝐭𝐬_𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬.𝐣𝐩𝐞𝐠: An image displayed in the HTML report, complementing the section on statistical and scientific reflections.
– 𝐬𝐭𝐚𝐭𝐪𝐮𝐨𝐭𝐞_𝐜𝐲𝐜𝐥𝐞_𝐬𝐭𝐚𝐭𝐞.𝐫𝐝𝐬: An RDS file that stores the state of the statistical quotes cycle. This file is dynamically updated to prevent repetitions, ensuring that the quotes presented in the report change with each execution.

5_𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫 – 𝐑 𝐌𝐚𝐫𝐤𝐝𝐨𝐰𝐧 𝐒𝐜𝐫𝐢𝐩𝐭
The Feature Priorizer is an R Markdown-based analytical pipeline (Script_Feature_Prioritizer.Rmd) developed to perform the full multivariate analysis workflow presented in the study. The script integrates:

A) Dimensionality reduction (Logistic PCA)
B) Unsupervised clustering (K-Means)
C) Feature prioritization using the Nihans Index and Pareto Analysis
D) Statistical and practical significance assessment (Chi-square test, Cohen's h)
E) Automated report generation in HTML format, including figures and tables

6_𝐅𝐢𝐥𝐞𝐬 𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐑𝐦𝐝: The R Markdown script that executes the entire analytical pipeline
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐡𝐭𝐦𝐥: The automatically generated HTML report containing all results, figures, and statistical summaries
– 𝐈𝐧𝐬𝐭𝐚𝐥𝐥_𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬.𝐑𝐦𝐝: A helper script that installs all necessary R packages for running the Feature Priorizer
DOI: 10.17632/frjs435wc8.2
title: Datasets and R Markdown files for the article "Survey on critical results management in Brazilian clinical laboratories: Profiling practices through multivariate analysis, prioritization, and a 'New Statistics' approach" submitted to Clinica Chimica Acta

description: This repository contains supplementary materials related to the study "𝐒𝐮𝐫𝐯𝐞𝐲 𝐨𝐧 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐁𝐫𝐚𝐳𝐢𝐥𝐢𝐚𝐧 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐢𝐞𝐬: 𝐏𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐦𝐮𝐥𝐭𝐢𝐯𝐚𝐫𝐢𝐚𝐭𝐞 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐚 '𝐍𝐞𝐰 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬' 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡". The dataset, figures, exported results, and analysis scripts are included to ensure full transparency and reproducibility of the research findings.

𝐅𝐨𝐥𝐝𝐞𝐫 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞

1_𝐃𝐚𝐭𝐚𝐬𝐞𝐭/
This folder contains the dataset used in the study, formatted for direct use in the Feature Priorizer R Markdown script.

2_𝐅𝐢𝐠𝐮𝐫𝐞𝐬/
All figures generated by the Feature Priorizer are stored here in 600 DPI resolution, ensuring high-quality graphics for publication and analysis.

3_𝐄𝐱𝐩𝐨𝐫𝐭𝐞𝐝/
This folder contains the exported results, including statistical outputs, tables, and processed datasets derived from the analyses.

4_𝐒𝐮𝐩𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐫𝐲_𝐅𝐢𝐥𝐞𝐬/
This folder contains auxiliary files used in generating the Feature Priorizer HTML report, ensuring an enhanced visual presentation and incorporating dynamic statistical quotes.
– 𝐬𝐭𝐲𝐥𝐞𝐬.𝐜𝐬𝐬: Defines the formatting of the HTML report, ensuring a consistent visual presentation.
logo.html, logo.png, logo.txt – Files related to the project's visual identity.
– 𝐒𝐜𝐢𝐞𝐧𝐜𝐞_𝐒𝐭𝐚𝐭𝐬_𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬.𝐣𝐩𝐞𝐠: An image displayed in the HTML report, complementing the section on statistical and scientific reflections.
– 𝐬𝐭𝐚𝐭𝐪𝐮𝐨𝐭𝐞_𝐜𝐲𝐜𝐥𝐞_𝐬𝐭𝐚𝐭𝐞.𝐫𝐝𝐬: An RDS file that stores the state of the statistical quotes cycle. This file is dynamically updated to prevent repetitions, ensuring that the quotes presented in the report change with each execution.

5_𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫 – 𝐑 𝐌𝐚𝐫𝐤𝐝𝐨𝐰𝐧 𝐒𝐜𝐫𝐢𝐩𝐭
The "Feature Priorizer" is an R Markdown-based analytical pipeline (Script_Feature_Prioritizer.Rmd) developed to perform the full multivariate analysis workflow presented in the study. The script integrates:

A) Dimensionality reduction (Logistic PCA)
B) Unsupervised clustering (K-Means)
C) Feature prioritization using the Nihans Index and Pareto Analysis
D) Statistical and practical significance assessment (Chi-square test, Cohen's h)
E) Automated report generation in HTML format, including figures and tables

6_𝐅𝐢𝐥𝐞𝐬 𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐑𝐦𝐝: The R Markdown script that executes the entire analytical pipeline
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐡𝐭𝐦𝐥: The automatically generated HTML report containing all results, figures, and statistical summaries
– 𝐈𝐧𝐬𝐭𝐚𝐥𝐥_𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬.𝐑𝐦𝐝: A helper script that installs all necessary R packages for running the Feature Priorizer
DOI: 10.17632/frjs435wc8.3
title: Datasets and R Markdown files for the article "Survey on critical results management in Brazilian clinical laboratories: Profiling practices through multivariate analysis, prioritization, and a 'New Statistics' approach" submitted to Clinica Chimica Acta

description: This repository contains supplementary materials related to the study "𝐒𝐮𝐫𝐯𝐞𝐲 𝐨𝐧 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐁𝐫𝐚𝐳𝐢𝐥𝐢𝐚𝐧 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐢𝐞𝐬: 𝐏𝐫𝐨𝐟𝐢𝐥𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐦𝐮𝐥𝐭𝐢𝐯𝐚𝐫𝐢𝐚𝐭𝐞 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐚 '𝐍𝐞𝐰 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬' 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡". The dataset, figures, exported results, and analysis scripts are included to ensure full transparency and reproducibility of the research findings.

𝐅𝐨𝐥𝐝𝐞𝐫 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞

1_𝐃𝐚𝐭𝐚𝐬𝐞𝐭/
This folder contains the dataset used in the study, formatted for direct use in the Feature Priorizer R Markdown script.

2_𝐅𝐢𝐠𝐮𝐫𝐞𝐬/
All figures generated by the Feature Priorizer are stored here in 600 DPI resolution, ensuring high-quality graphics for publication and analysis.

3_𝐄𝐱𝐩𝐨𝐫𝐭𝐞𝐝/
This folder contains the exported results, including statistical outputs, tables, and processed datasets derived from the analyses.

4_𝐒𝐮𝐩𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐫𝐲_𝐅𝐢𝐥𝐞𝐬/
This folder contains auxiliary files used in generating the Feature Priorizer HTML report, ensuring an enhanced visual presentation and incorporating dynamic statistical quotes.
– 𝐬𝐭𝐲𝐥𝐞𝐬.𝐜𝐬𝐬: Defines the formatting of the HTML report, ensuring a consistent visual presentation.
logo.html, logo.png, logo.txt – Files related to the project's visual identity.
– 𝐒𝐜𝐢𝐞𝐧𝐜𝐞_𝐒𝐭𝐚𝐭𝐬_𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐨𝐧𝐬.𝐣𝐩𝐞𝐠: An image displayed in the HTML report, complementing the section on statistical and scientific reflections.
– 𝐬𝐭𝐚𝐭𝐪𝐮𝐨𝐭𝐞_𝐜𝐲𝐜𝐥𝐞_𝐬𝐭𝐚𝐭𝐞.𝐫𝐝𝐬: An RDS file that stores the state of the statistical quotes cycle. This file is dynamically updated to prevent repetitions, ensuring that the quotes presented in the report change with each execution.

5_𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫 – 𝐑 𝐌𝐚𝐫𝐤𝐝𝐨𝐰𝐧 𝐒𝐜𝐫𝐢𝐩𝐭
The "Feature Priorizer" is an R Markdown-based analytical pipeline (Script_Feature_Prioritizer.Rmd) developed to perform the full multivariate analysis workflow presented in the study. The script integrates:

A) Dimensionality reduction (Logistic PCA)
B) Unsupervised clustering (K-Means)
C) Feature prioritization using the Nihans Index and Pareto Analysis
D) Statistical and practical significance assessment (Chi-square test, Cohen's h)
E) Automated report generation in HTML format, including figures and tables

6_𝐅𝐢𝐥𝐞𝐬 𝐑𝐞𝐥𝐚𝐭𝐞𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐏𝐫𝐢𝐨𝐫𝐢𝐳𝐞𝐫
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐑𝐦𝐝: The R Markdown script that executes the entire analytical pipeline
– 𝐒𝐜𝐫𝐢𝐩𝐭_𝐅𝐞𝐚𝐭𝐮𝐫𝐞_𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞𝐫.𝐡𝐭𝐦𝐥: The automatically generated HTML report containing all results, figures, and statistical summaries
– 𝐈𝐧𝐬𝐭𝐚𝐥𝐥_𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬.𝐑𝐦𝐝: A helper script that installs all necessary R packages for running the Feature Priorizer
DOI: 10.5281/zenodo.14846220
title: Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)

description: Includes raw and processed data for mass spectrometry imaging data collected in positive and negative ionization modes using a Bruker timeTOF fleX hybrid trapped ion mobility time-of-flight mass spectrometer equipped with a MALDI source.
DOI: 10.5281/zenodo.14846221
title: Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning (Raw and Processed Data)

description: Includes raw and processed data for mass spectrometry imaging data collected in positive and negative ionization modes using a Bruker timeTOF fleX hybrid trapped ion mobility time-of-flight mass spectrometer equipped with a MALDI source.
DOI: 10.17632/hp9dftgv66.1
title: Tubular FSTL1 Drives Calcium Oxalate Nephrolithiasis via YAP1/CCN2 - mediated Osteogenic-like Transdifferentiation-raw data

description: Raw western blot
DOI: 10.17632/ybdkr6mfxk.1
title: Data for: Import Processing and Trade Costs

description: Replication files for Carballo, Graziano, Schaur and Volpe Martincus (2024) "Import Processing and Trade Costs" for the publication in Journal of International Economics. 

Notes: Due to confidential agreements, we cannot make available the data used in the article. The replication files that contain the details on how to apply to get access to the data used in the paper together with the codes are available here. See the "read me" file within the replication files for a detailed guideline.
DOI: 10.17632/ybdkr6mfxk.2
title: Data for: Import Processing and Trade Costs

description: Replication files for Carballo, Graziano, Schaur and Volpe Martincus (2024) "Import Processing and Trade Costs" for the publication in Journal of International Economics. 

Notes: Due to confidential agreements, we cannot make available the data used in the article. The replication files that contain the details on how to apply to get access to the data used in the paper together with the codes are available here. See the "read me" file within the replication files for a detailed guideline.
DOI: 10.5066/p135cn95
title: Geospatial geologic structural datasets, Chattanooga Shale, Wells Creek Dolomite, and Knox Group, Tennessee, USA

description: Data about the top and bottom altitude, depth from land surface and/or the thickness of three geologic units in Tennessee were converted into geospatial format for this USGS data release from previously published paper maps and converted into digital formats for use by the public. The three geologic units were the Chattanooga Shale of Mississippian-Devonian age (Moore and Horton, 1999), the Wells Creek Dolomite of middle Ordovician age (Smith, 1959), and the Knox Group of lower Ordovician age (Newcome, 1954). These geologic units represent important geologic horizons across Tennessee. Geologic structure maps provide important information and, in digital format, support investigative and modeling efforts pertaining to water and mineral resources. Prior to this work, the paper source maps used for this data release existed in limited quantities, mainly restricted to the Nashville, TN offices of the Tennessee Department of Environment and Conservation (TDEC) and United States Geological Survey (USGS).

The work for this project included (1) scanning and georeferencing original paper maps to create georeferenced images (GRI), (2) digitizing well location points and contour lines, (3) populating well and contour attribute tables with data from maps and associated reports, and (4) when possible, interpolating raster surfaces for the three geologic units of top and bottom altitude, depth from land surface to the top and bottom surface, and thickness. All raster surfaces were aligned to a modified version of the National Hydrogeologic Grid (Clark and others, 2018) to support USGS Lower Mississippi Gulf Water Science Center efforts to create a statewide hydrogeologic framework. All horizontal coordinated data are projected to NAD 1983 USGS Contiguous USA Albers. The raster vertical coordinate information was referenced to the North American Vertical Datum of 1988 (NAVD 88). 

This data release includes GRIs, vector data of the wells and mapped contours of top, bottom, or thickness, raster data, and related metadata files for each three geologic units under the associated child item tab.
DOI: 10.17632/bwwk49tmzx.1
title: Multi-fault rupturing of the 2019 ML4.9 Rongxian earthquake in the Sichuan basin, China

description: Seismic waveform data of the Rongxian earthquakes. The ML4.7, ML4.3 and ML4.9 events are called in E1, E2 and E3 in the zip file, respectively.
DOI: 10.17632/bwwk49tmzx.2
title: Multi-fault rupturing of the 2019 Mw4.6 Rongxian shallow earthquake in the Sichuan basin, China and its implication for hazard analysis

description: Seismic waveform data of the Rongxian earthquakes. The ML4.7, ML4.3 and ML4.9 events are called in E1, E2 and E3 in the zip file, respectively.
DOI: 10.17632/rb7rndgy7w.1
title: Low oxygen in the early Neoproterozoic shallow seawater

description: The database contains the major and trace element compositions, as well as iodine content, of carbonates from the Zhaowei, Niyuan, and Jiudingshan formations in North China.
DOI: 10.17632/rb7rndgy7w.2
title: Low oxygen in the early Neoproterozoic shallow seawater

description: The database contains the major and trace element compositions, as well as iodine content, of carbonates from the Zhaowei, Niyuan, and Jiudingshan formations in North China.
DOI: 10.17632/sbj87sjzf3.1
title: DTERRAIN: 3D inverse modeling of InSAR and surface displacement data

description: Software for the joint inversion of any surface displacement data (such as InSAR, leveling and GPS) to recover a three-dimensional distribution of volumetric deformation. The software finds the volumetric strain for each individual cell compartment of a 3D rectangular domain which justify the set of surface displacements registered in any spatial direction given their cosine directors (e.g. any line of sight, leveling or full GPS). The model is searched by setting a least-squares objective function composed by data misfit and smoothness constraints (minimum spatial deformation variation) and establishing a conjugate gradient search scheme. The software reports the full 3D deformation model and all the attained data residuals for model evaluation.
The software code is composed by three ASCII files with fortran source codes (*.f files). The documents include a sample input files for model preparation, which correspond to the synthetic example described in the associated manuscript "3D volumetric strain distribution of the Cerro Prieto Geothermal Field inferred from inverse modeling of InSAR and leveling data" by the same authors.
DOI: 10.17632/xg79z47zky.1
title: Gradual changes within long-lived influenza virus-specific CD8+ T cells underpin the loss of highly-functional clonotypes in older adults

description: Supplemental Table 2

Carolien E. van de Sandt (1), Hayley A McQuilten (1), Thi H O Nguyen (1), Sophie A Valkenburg (1), Emma J Grant (2,3), Sneha Sant (1), Jamie Rossjohn (3,4), Stephanie Gras (2,3), Jane Crowe (5) and Katherine Kedzierska (1).

1 Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia 
2 Viral and Structural Immunology Laboratory, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.
3 Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
4 Institute of Infection and Immunity, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
5 Deepdene Surgery, Deepdene, Victoria 3103, Australia

File contains counts of influenza A2/M1(58-66) specific CD8+ T cell clonotypes sampled from adults (n = 3) and older adults (&gt; 60 years of age, n = 4) collected on 2-3 occasions spanning 7-12 years.
DOI: 10.17632/m9x8g7kzm2.1
title: Figure s1 Model-predicted number of patients for different categories

description: After running the model simulations 100 times, we calculated the mean and 95% confidence interval for the total number of patients across different categories within the 8 companies.
DOI: 10.15468/dl.w8c78g
title: Occurrence Download

description: A dataset containing 82199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Occurrence evidence, Living Specimen)",
 "Continent is one of (Africa, Europe)",
 "Country is one of (Netherlands, Germany, France, Spain, Italy, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Argiope bruennichi (Scopoli, 1772)"
 ]
}

 The dataset includes 82199 records from 1083 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023772-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjuwy3
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-115.72708 -59.99555,-29.15126 -59.99555,-29.15126 -25.34732,-115.72708 -25.34732,-115.72708 -59.99555))",
 "Geometry POLYGON((-76.44287 -51.45996,-70.20264 -51.45996,-70.20264 -36.03516,-76.44287 -36.03516,-76.44287 -51.45996))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium dareoides Desv."
 ]
}

 The dataset includes 90 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063599-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pz8esc
title: Occurrence Download

description: A dataset containing 35147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Morus L."
 ]
}

 The dataset includes 35147 records from 622 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075417-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsfpnx
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "TaxonKey is Solanum lycopersicum L."
 ]
}

 The dataset includes 513 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114936-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnutjk
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudosimochromis babaulti (Pellegrin, 1927)"
 ]
}

 The dataset includes 625 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058439-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zypx92
title: Occurrence Download

description: A dataset listing the 709 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viruses"
 ]
}

 The dataset's 709 records were derived from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070654-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.