cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nsx62prs68
title: Dataset of Organizational and Technological Determinants of Emergency Healthcare Quality (SIGMA-H Study)

description: This dataset supports the empirical study “Sustainable Integrated Governance and Management for Healthcare (SIGMA-H): An Empirical Model Linking Organizational Capabilities, Technological Absorption, and Service Quality in Emergency Hospital Services.” It includes institutional-level data collected from 93 emergency healthcare centers in Colombia’s Caribbean region (2024).
DOI: 10.17632/nsx62prs68.2
title: Dataset of Organizational and Technological Determinants of Emergency Healthcare Quality (SIGMA-H Study)

description: This dataset supports the empirical study “Sustainable Integrated Governance and Management for Healthcare (SIGMA-H): An Empirical Model Linking Organizational Capabilities, Technological Absorption, and Service Quality in Emergency Hospital Services.” It includes institutional-level data collected from 93 emergency healthcare centers in Colombia’s Caribbean region (2024).
DOI: 10.17632/rc34b77gs6
title: NCT02434354 Neoadjuvant anti-PD-1 Pembrolizumab Clinical Trial

description: Flow cytometry data for NCT02434354 Neoadjuvant anti-PD-1 Pembrolizumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.17632/rc34b77gs6.2
title: NCT02434354 Neoadjuvant anti-PD-1 Pembrolizumab Clinical Trial

description: Flow cytometry data for NCT02434354 Neoadjuvant anti-PD-1 Pembrolizumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.25921/5hyh-rw83
title: Oceanographic data collected during the EX2106: 2021 U.S. Blake Plateau Mapping 2 (Mapping) expedition on NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2021-09-05 to 2021-09-28 (NCEI Accession 0242163)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2021-09-05 to 2021-09-28. Data acquisition from shipboard sensors includes navigational data, meteorological data (altimetry, depth, echo sounder, fluorescence, oxygen, pressure, relative humidity, salinity, sound velocity, temperature, turbidity, water temperature, wind, wind speed), and vehicle data (ROV time to surface, traction winch data, line rate data). Additional data includes Profile Data (ASVP, CTD, and XBT) and ADCP Data.
DOI: 10.17632/rfhzmwkkjv
title: NCT04013854 Neoadjuvant-Adjuvant anti-PD-1 Nivolumab Clinical Trial (PBMC)

description: Flow cytometry data for NCT04013854 Neoadjuvant-Adjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.17632/rfhzmwkkjv.3
title: NCT04013854 Neoadjuvant-Adjuvant anti-PD-1 Nivolumab Clinical Trial (PBMC)

description: Flow cytometry data for NCT04013854 Neoadjuvant-Adjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.17632/kytn94s29r
title: NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial (To Patient 67)

description: Flow cytometry data for NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.15468/dl.trbkz7
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe clavigera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 235 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037520-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kytn94s29r.3
title: NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial (To Patient 67)

description: Flow cytometry data for NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.15468/dl.vqg2nz
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.455 -0.887817, 103.384728 -0.893383, 103.316187 -0.909945, 103.251061 -0.937094, 103.190956 -0.974163, 103.137349 -1.020239, 103.091562 -1.074188, 103.05472 -1.134682, 103.027733 -1.200232, 103.011264 -1.269223, 103.00572 -1.339959, 103.011239 -1.410696, 103.027685 -1.479693, 103.054654 -1.545252, 103.091483 -1.605757, 103.137267 -1.659718, 103.190877 -1.705807, 103.250995 -1.742887, 103.316138 -1.770046, 103.384703 -1.786613, 103.455 -1.792181, 103.525297 -1.786613, 103.593862 -1.770046, 103.659005 -1.742887, 103.719123 -1.705807, 103.772733 -1.659718, 103.818517 -1.605757, 103.855346 -1.545252, 103.882315 -1.479693, 103.898761 -1.410696, 103.90428 -1.339959, 103.898736 -1.269223, 103.882267 -1.200232, 103.85528 -1.134682, 103.818438 -1.074188, 103.772651 -1.020239, 103.719044 -0.974163, 103.658939 -0.937094, 103.593813 -0.909945, 103.525272 -0.893383, 103.455 -0.887817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037521-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g8psw9692h
title: NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial (To Patient 51)

description: Flow cytometry data for NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.17632/g8psw9692h.3
title: NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial (To Patient 51)

description: Flow cytometry data for NCT04013854 Neoadjuvant anti-PD-1 Nivolumab Clinical Trial.
Antigen-specific profiling identifies T-bet+ melanoma-specific CD8+ T cells associated with pathologic response to neoadjuvant anti-PD-1 therapy
Cancer Cell 2025
DOI: 10.17605/osf.io/n6uce
title: Identifying Cognitive Patterns of Track and Field Experts in 100m and 200m Sprint in Talent Identification Using Q Methodology

description: This study aims to identify and prioritize the effective factors in talent identification for track and field, focusing specifically on 100m and 200m sprints. The research is conducted using the Q-methodology, analyzing the perspectives of expert coaches and elite athletes in this discipline.
DOI: 10.17632/489jnnpsds
title: Four Logics Data

description: This dataset provides the underlying data, calculations, and visual components necessary to replicate and extend the findings presented in the article "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025).

The article proposes an integrated analytical framework for studying collective decision-making in governance, combining four adaptive macro-level belief systems (Political, Economic, Scientific, and Moral-Ethical) with network topology analysis. The framework identifies four emergent governance dynamics: Systemic Rigidity, Systemic Fragility, Negotiated Stability, and Elasticity.

This dataset has five files: Supplementary_Table_S1; Supplementary_Table_S2; Supplementary_Table_S3; Supplementary_Figure_S1; Supplementary_Figures_S2_IV_Appendix.

These files are organized in three folders:

- Multi-Criteria Decision Analysis (MCDA) Folder: This folder contains the quantitative backbone of the framework, specifically the raw data, calculations, and sensitivity analyses used to determine the relative influence (weights) of the four governance logics (Political, Economic, Scientific, and Moral-Ethical) across the studied cases. Researchers can use these files to reproduce the weighting process detailed in Appendix I of the paper and to recreate the visual representations of the system dynamics, including the attractor landscapes presented in Figure 3 and the Logics weightings summarized in Table 2. FILES IN THE FOLDER: "Supplementary_Table_S2" and "Supplementary_Figure_S1"

- Network Diagrams Folder: This folder provides data on the structural analysis of the governance system topology. It includes the quantitative output for the network analysis. The data is relevant for replicating the network properties listed in Table 1 and the information provided in Appendix IV. These files allow for the verification of how institutional topology and network structure mediate the Four Logics. FILES IN THE FOLDER: "Supplementary_Table_S1" and "Supplementary_Figures_S2_IV_Appendix"

- Case Studies Folder: This folder contains the synthesized data derived from the literature review on the five historical crises examined in the article (Chernobyl Nuclear Accident, the Partition of India, the Ethiopian Famine, the War on Terror, and COVID-19). This data serves as the foundation for detailing the initial variables, actor preferences, and observed institutional configurations that informed the MCDA and network modeling for each case. FILE IN THE FOLDER: "Supplementary_Table_S3"

The files in the MCDA folder allow users to reproduce the Logic weighting process. The data in the Network Diagrams folder can be used in conjunction with standard network analysis software (e.g., Gephi, R with igraph) to verify the network properties and centrality measures reported in the paper. The Case Studies files provide the structured qualitative input for those seeking to apply the framework to new cases.
DOI: 10.17632/489jnnpsds.1
title: Four Logics Data

description: This dataset provides the underlying data, calculations, and visual components necessary to replicate and extend the findings presented in the article "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025).

The article proposes an integrated analytical framework for studying collective decision-making in governance, combining four adaptive macro-level belief systems (Political, Economic, Scientific, and Moral-Ethical) with network topology analysis. The framework identifies four emergent governance dynamics: Systemic Rigidity, Systemic Fragility, Negotiated Stability, and Elasticity.

This dataset has five files: Supplementary_Table_S1; Supplementary_Table_S2; Supplementary_Table_S3; Supplementary_Figure_S1; Supplementary_Figures_S2_IV_Appendix.

These files are organized in three folders:

- Multi-Criteria Decision Analysis (MCDA) Folder: This folder contains the quantitative backbone of the framework, specifically the raw data, calculations, and sensitivity analyses used to determine the relative influence (weights) of the four governance logics (Political, Economic, Scientific, and Moral-Ethical) across the studied cases. Researchers can use these files to reproduce the weighting process detailed in Appendix I of the paper and to recreate the visual representations of the system dynamics, including the attractor landscapes presented in Figure 3 and the Logics weightings summarized in Table 2. FILES IN THE FOLDER: "Supplementary_Table_S2" and "Supplementary_Figure_S1"

- Network Diagrams Folder: This folder provides data on the structural analysis of the governance system topology. It includes the quantitative output for the network analysis. The data is relevant for replicating the network properties listed in Table 1 and the information provided in Appendix IV. These files allow for the verification of how institutional topology and network structure mediate the Four Logics. FILES IN THE FOLDER: "Supplementary_Table_S1" and "Supplementary_Figures_S2_IV_Appendix"

- Case Studies Folder: This folder contains the synthesized data derived from the literature review on the five historical crises examined in the article (Chernobyl Nuclear Accident, the Partition of India, the Ethiopian Famine, the War on Terror, and COVID-19). This data serves as the foundation for detailing the initial variables, actor preferences, and observed institutional configurations that informed the MCDA and network modeling for each case. FILE IN THE FOLDER: "Supplementary_Table_S3"

The files in the MCDA folder allow users to reproduce the Logic weighting process. The data in the Network Diagrams folder can be used in conjunction with standard network analysis software (e.g., Gephi, R with igraph) to verify the network properties and centrality measures reported in the paper. The Case Studies files provide the structured qualitative input for those seeking to apply the framework to new cases.
DOI: 10.17632/shk2s2k4mb
title: Original paired-end transcriptome outputs from the RNAseq analyses of the deep-sea zoanthid Zibrowius primnoidus

description: This dataset contains outputs generated from the original paired-end transcriptomic analyses of the deep-sea zoanthid Zibrowius primnoidus. The dataset includes the following files:

• 155835_ID3533_1-1_S111_L004_R1_001.fastq.gz.P.qtrim.gz: Preprocessed forward reads used for the de novo assembly, obtained from paired-end RNA-Seq data of Zibrowius primnoidus, containing high-quality sequences that passed quality trimming and filtering with Trimmomatic.

• 155835_ID3533_1-1_S111_L004_R2_001.fastq.gz.P.qtrim.gz: Preprocessed reverse reads used for the de novo assembly, obtained from paired-end RNA-Seq data of Zibrowius primnoidus, containing high-quality sequences that passed quality trimming and filtering with Trimmomatic.

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta: Original, non-filtered de novo paired-end transcriptome assembly of Zibrowius primnoidus, generated from ~90 million PE reads using the Trinity assembler.

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta_stats.txt: Statistical summary of the paired-end transcriptome assembly of Zibrowius primnoidus (e.g. number of transcripts, N50, GC content).

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta.gene_trans_map: Transcript-to-gene mapping file generated during the Trinity paired-end transcriptome assembly of Zibrowius primnoidus.

• quant_Zp.sf: Salmon output file containing expression estimates (transcript-level abundance) for the assembled transcripts from the paired-end RNA-Seq data of Zibrowius primnoidus.

Additionally, the dataset includes the following files from DIAMOND BLASTx analyses, which used the original de novo paired-end transcriptome assembly of Zibrowius primnoidus:

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6: BLASTx output file against the UniRef90 database, reporting the top alignment for each query (assembled transcript) from the paired-end assembly of Zibrowius primnoidus.

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.grouped: Grouped BLASTx hits from the paired-end assembly of Zibrowius primnoidus, designed to improve sequence coverage by combining multiple high-scoring segment pairs (HSPs).

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.hist: Histogram summarizing the distribution of BLASTx hit lengths obtained from the paired-end assembly of Zibrowius primnoidus.

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.w_pct_hit_length: File providing percentages of hit lengths from BLASTx analyses of the paired-end assembly of Zibrowius primnoidus, including each top hit’s length and the percentage of that length covered in the alignment.
DOI: 10.17632/shk2s2k4mb.1
title: Original paired-end transcriptome outputs from the RNAseq analyses of the deep-sea zoanthid Zibrowius primnoidus

description: This dataset contains outputs generated from the original paired-end transcriptomic analyses of the deep-sea zoanthid Zibrowius primnoidus. The dataset includes the following files:

• 155835_ID3533_1-1_S111_L004_R1_001.fastq.gz.P.qtrim.gz: Preprocessed forward reads used for the de novo assembly, obtained from paired-end RNA-Seq data of Zibrowius primnoidus, containing high-quality sequences that passed quality trimming and filtering with Trimmomatic.

• 155835_ID3533_1-1_S111_L004_R2_001.fastq.gz.P.qtrim.gz: Preprocessed reverse reads used for the de novo assembly, obtained from paired-end RNA-Seq data of Zibrowius primnoidus, containing high-quality sequences that passed quality trimming and filtering with Trimmomatic.

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta: Original, non-filtered de novo paired-end transcriptome assembly of Zibrowius primnoidus, generated from ~90 million PE reads using the Trinity assembler.

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta_stats.txt: Statistical summary of the paired-end transcriptome assembly of Zibrowius primnoidus (e.g. number of transcripts, N50, GC content).

• Zibrowius_primnoidus_RF_assembly.Trinity.fasta.gene_trans_map: Transcript-to-gene mapping file generated during the Trinity paired-end transcriptome assembly of Zibrowius primnoidus.

• quant_Zp.sf: Salmon output file containing expression estimates (transcript-level abundance) for the assembled transcripts from the paired-end RNA-Seq data of Zibrowius primnoidus.

Additionally, the dataset includes the following files from DIAMOND BLASTx analyses, which used the original de novo paired-end transcriptome assembly of Zibrowius primnoidus:

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6: BLASTx output file against the UniRef90 database, reporting the top alignment for each query (assembled transcript) from the paired-end assembly of Zibrowius primnoidus.

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.grouped: Grouped BLASTx hits from the paired-end assembly of Zibrowius primnoidus, designed to improve sequence coverage by combining multiple high-scoring segment pairs (HSPs).

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.hist: Histogram summarizing the distribution of BLASTx hit lengths obtained from the paired-end assembly of Zibrowius primnoidus.

• Zibrowius_primnoidus_assembly.Trinity.blastx.outfmt6.w_pct_hit_length: File providing percentages of hit lengths from BLASTx analyses of the paired-end assembly of Zibrowius primnoidus, including each top hit’s length and the percentage of that length covered in the alignment.
DOI: 10.17632/npzjd72msf
title: Clinical phenotype and genetic characteristics analysis of SCN1A-related epilepsy

description: Clinical phenotype and genetic characteristics analysis of SCN1A-related epilepsy
DOI: 10.17632/npzjd72msf.1
title: Clinical phenotype and genetic characteristics analysis of SCN1A-related epilepsy

description: Clinical phenotype and genetic characteristics analysis of SCN1A-related epilepsy
DOI: 10.15468/dl.qm2p3f
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sturnira angeli",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 95 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037522-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h6n5srjjyw
title: BananaID: An image dataset of banana varieties and ripeness stages in Indonesia designed for classification

description: Type of Data: Banana images with a resolution of 384×256 pixels
Data Format: JPG
Data Contents: Banana varieties and ripeness stages.

Number of Classes:
(1) Five popular banana varieties in Indonesia: Ambon Lumut (referred to as Ambon in the dataset), Cavendish, Raja, Saba, and Mas.
(2) Four ripeness stages: Unripe, Half-ripe, Ripe, and Overripe.

Number of Images:
(1) Total original images for variety classification = 1,960, augmented to 8,750 images.
(2) Total original images for ripeness classification = 1,960, augmented to 7,000 images.

Data Distribution:
(1) Original images per banana variety:
• Ambon = 468
• Cavendish = 380
• Raja = 424
• Saba = 312
• Mas = 376

(2) Augmented images per banana variety:
• Ambon = 1,750
• Cavendish = 1,750
• Raja = 1,750
• Saba = 1,750
• Mas = 1,750

(3) Original images per ripeness stage:
• Unripe = 408
• Half-ripe = 488
• Ripe = 616
• Overripe = 448

(4) Augmented images per ripeness stage:
• Unripe = 1,750
• Half-ripe = 1,750
• Ripe = 1,750
• Overripe = 1,750

Dataset Size:
(1) Total size of the original variety dataset = 48.77 MB
(2) Total size of the augmented variety dataset = 385.40 MB
(3) Total size of the original ripeness dataset = 48.77 MB
(4) Total size of the augmented ripeness dataset = 297.89 MB

Data Acquisition Process:
Images were captured using a high-quality DSLR camera to ensure optimal detail for computer vision analysis.

Data Source Location:
Traditional markets, minimarkets, and supermarkets across various areas of Surabaya City, East Java, Indonesia, as well as harvests from farms in Tulungagung Regency, East Java, Indonesia.

Dataset Applications:
This dataset is designed to support machine learning (ML), deep learning (DL), and computer vision (CV) applications for identifying banana varieties and ripeness stages. It is also relevant for developing image-based automated systems for pre-harvest and post-harvest analysis, including variety classification and ripeness assessment.