DataverseNO

Metrics

2,139,009 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

License: CC BY 4.0

71 to 80 of 2,944 Results

test460062_bud_ampl45mm_focused_x8.15m.csv Apr 29, 2026 - Background Data for: A laboratory experiment and procedure for deterministic validation of numerical wave models Comma Separated Values - 999.9 KB - MD5: abce000bb1568f32f577411596901675
Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis Apr 22, 2026 - University of South-Eastern Norway Barahmand, Zahir, 2026, "Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis", https://doi.org/10.18710/NZHGW3, DataverseNO, V3 This dataset supports the paper “A Governance-Aware Systems Thinking Architecture for Sustainability at Scale.” The study addresses a key challenge in large-scale sustainability research: how to ensure transparency, consistency, and auditability when integrating heterogeneous evidence and systems thinking approaches. The paper introduces STAI³RS, a...
00_ReadMe.txt Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis Plain Text - 16.5 KB - MD5: 143c24f0af4e162f4685059d3ec192ea
1_STAI3RS_SEEDS_Framework.zip Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis ZIP Archive - 25.5 KB - MD5: a388c42da67e268fabc874d876aa9f79 This folder contains framework documentation for STAI³RS (Scalable, Transparent, Analytical, Interpretable, Reliable, Reproducible, Robust, and Systematic) governance principles and their derivation from established systems thinking traditions. Materials support the theoretical foundation and governance architecture of the paper "A Governance-Aware...
2_ESI_Feedstock_Case_Study.zip Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis ZIP Archive - 182.6 KB - MD5: 45b7f300f0966fcd727067a3f94beefe This folder contains NEW computational transparency materials for the EcoStrategic Index (ESI) feedstock evidence-mapping case study. While the case study was previously documented in narrative form (Table S2 in the main paper), this folder now provides complete calculation workbooks, raw data, methodology documentation, and reproducible formulas d...
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq Apr 7, 2026 - UiT The Arctic University of Norway Pettersen, Jakob Peder, 2026, "Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq", https://doi.org/10.18710/EGMHAC, DataverseNO, V1 In the paper Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq , two secondary analysis bioinformatic pipelines for data from the PETRI-seq protocol (Blattman et al. 2020) are compared and benchmarked. One of these pipelines is the original PETRI-seq pipeline (Blattman et al. 2020 and Blattman et al. 2024, available a...
00_Readme.txt Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq Plain Text - 12.0 KB - MD5: 44476222713cefdb26417034c8b5cd7f Documentation README file generated by DataverseUrge. This README documents the purpose and structure of the repository.
comparison.pdf Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq Adobe PDF - 9.0 KB - MD5: 0b3c066bf493ebd535b2ab90c2c9941c Figure used in the paper Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq, produced by running numeric_comparison.R
config.yaml Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq Unknown - 368 B - MD5: 33412d92323d5198067725cbbb287e70 Config file which Petrisnake used for the benchmarking
numeric_comparison.R Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq R Syntax - 3.7 KB - MD5: c2a3edd4913fd218b44a3e6c3a7e1057 R script to produce the figure numeric_comparison.R from the data in the repository

test460062_bud_ampl45mm_focused_x8.15m.csv

Apr 29, 2026 - Background Data for: A laboratory experiment and procedure for deterministic validation of numerical wave models

Comma Separated Values - 999.9 KB -

Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis

Apr 22, 2026 - University of South-Eastern Norway

Barahmand, Zahir, 2026, "Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis", https://doi.org/10.18710/NZHGW3, DataverseNO, V3

This dataset supports the paper “A Governance-Aware Systems Thinking Architecture for Sustainability at Scale.” The study addresses a key challenge in large-scale sustainability research: how to ensure transparency, consistency, and auditability when integrating heterogeneous evidence and systems thinking approaches. The paper introduces STAI³RS, a...

00_ReadMe.txt

Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis

Plain Text - 16.5 KB -

1_STAI3RS_SEEDS_Framework.zip

Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis

ZIP Archive - 25.5 KB -

This folder contains framework documentation for STAI³RS (Scalable, Transparent, Analytical, Interpretable, Reliable, Reproducible, Robust, and Systematic) governance principles and their derivation from established systems thinking traditions. Materials support the theoretical foundation and governance architecture of the paper "A Governance-Aware...

2_ESI_Feedstock_Case_Study.zip

Apr 22, 2026 - Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis

ZIP Archive - 182.6 KB -

This folder contains NEW computational transparency materials for the EcoStrategic Index (ESI) feedstock evidence-mapping case study. While the case study was previously documented in narrative form (Table S2 in the main paper), this folder now provides complete calculation workbooks, raw data, methodology documentation, and reproducible formulas d...

Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq

Apr 7, 2026 - UiT The Arctic University of Norway

Pettersen, Jakob Peder, 2026, "Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq", https://doi.org/10.18710/EGMHAC, DataverseNO, V1

In the paper Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq , two secondary analysis bioinformatic pipelines for data from the PETRI-seq protocol (Blattman et al. 2020) are compared and benchmarked. One of these pipelines is the original PETRI-seq pipeline (Blattman et al. 2020 and Blattman et al. 2024, available a...

00_Readme.txt

Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq

Plain Text - 12.0 KB -

Documentation

README file generated by DataverseUrge. This README documents the purpose and structure of the repository.

comparison.pdf

Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq

Adobe PDF - 9.0 KB -

Figure used in the paper Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq, produced by running numeric_comparison.R

config.yaml

Apr 7, 2026 - Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq

Unknown - 368 B -