cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ph9gwhkjd5
title: Raw datas for “Selective distribution of SiO2 nanoparticles in epoxy/thermoplastic blends and its impact on mechanical properties”

description: Raw datas for “Selective distribution of SiO2 nanoparticles in epoxy/thermoplastic blends and its impact on mechanical properties”
DOI: 10.17632/ph9gwhkjd5.1
title: Raw datas for “Selective distribution of SiO2 nanoparticles in epoxy/thermoplastic blends and its impact on mechanical properties”

description: Raw datas for “Selective distribution of SiO2 nanoparticles in epoxy/thermoplastic blends and its impact on mechanical properties”
DOI: 10.5281/zenodo.15455604
title: Two-point correlation function dataset and analysis outputs for "Unveiling the Strong Interaction origin of Baryon Masses with Lattice QCD"

description: It includes raw lattice QCD two-point correlation functions, intermediate analysis outputs, and final fit results. These were used to compute baryon masses, quark sigma terms, and trace anomaly contributions.

The structure of the dataset is as follows:

lqcd_data/

├── baryon_meson_data_h5/           # Raw two-point correlators (~25 GB)

├── precomputed_Propagators/       # Precomputed propagators (~3.3 GB) for Chroma-based measurements

├── precomputed_pydata_eff_mass/        # Effective mass fit outputs (~3.1 GB)

├── precomputed_pydata_global_fit/        # Global fit results (~18 MB)

├── Propagators/                   # Output directory (auto-generated during runtime)

├── Configuration/                 # Test gauge configurations for demonstration only

The Configuration/ directory contains a small subset of test gauge configurations and propagators. These are intended for demonstration purposes only, such as verifying the workflow from gauge configurations to baryon two-point functions. Full production configurations are not included due to storage limitations.

The analysis workflow is supported by a Docker container, available on GitHub at: https://github.com/hubl1/chroma-meas/pkgs/container/chroma-meas and https://github.com/hubl1/baryon-analysis

If you use this dataset, please cite the associated publication and this Zenodo record using its DOI.
DOI: 10.5281/zenodo.15455605
title: Two-point correlation function dataset and analysis outputs for "Unveiling the Strong Interaction origin of Baryon Masses with Lattice QCD"

description: It includes raw lattice QCD two-point correlation functions, intermediate analysis outputs, and final fit results. These were used to compute baryon masses, quark sigma terms, and trace anomaly contributions.

The structure of the dataset is as follows:

lqcd_data/

├── baryon_meson_data_h5/           # Raw two-point correlators (~25 GB)

├── precomputed_Propagators/       # Precomputed propagators (~3.3 GB) for Chroma-based measurements

├── precomputed_pydata_eff_mass/        # Effective mass fit outputs (~3.1 GB)

├── precomputed_pydata_global_fit/        # Global fit results (~18 MB)

├── Propagators/                   # Output directory (auto-generated during runtime)

├── Configuration/                 # Test gauge configurations for demonstration only

The Configuration/ directory contains a small subset of test gauge configurations and propagators. These are intended for demonstration purposes only, such as verifying the workflow from gauge configurations to baryon two-point functions. Full production configurations are not included due to storage limitations.

The analysis workflow is supported by a Docker container, available on GitHub at: https://github.com/hubl1/chroma-meas/pkgs/container/chroma-meas and https://github.com/hubl1/baryon-analysis

If you use this dataset, please cite the associated publication and this Zenodo record using its DOI.
DOI: 10.15468/dl.a5rkqt
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Taiwania flousiana Gaussen"
 ]
}

 The dataset includes 33 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015222-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15296229
title: Tumor-resident T-cell regulate responses to checkpoint blockade immunotherapies

description: In cancer models, CD103+CD8 TRM cells are implicated in the response to anti-PD-1 immunotherapy, and a subset of CD4 TRM cells expressing the integrin CD49a is required for response to anti-CTLA-4 immunotherapy. We performed single-cell RNA sequencing on tumour-infiltrating T lymphocytes (TILs) isolated from colon carcinoma et unsupervised analyses reveal several TRM populations. 

Dataset contains the CD4+CD8+ combined Seurat object and the corresponding TCR sequencing data.
DOI: 10.5281/zenodo.15296230
title: Tumor-resident T-cell regulate responses to checkpoint blockade immunotherapies

description: In cancer models, CD103+CD8 TRM cells are implicated in the response to anti-PD-1 immunotherapy, and a subset of CD4 TRM cells expressing the integrin CD49a is required for response to anti-CTLA-4 immunotherapy. We performed single-cell RNA sequencing on tumour-infiltrating T lymphocytes (TILs) isolated from colon carcinoma et unsupervised analyses reveal several TRM populations. 

Dataset contains the CD4+CD8+ combined Seurat object and the corresponding TCR sequencing data.
DOI: 10.17632/p7zffz7rv8.1
title: Behavioral Simulation and Discourse Analysis of Institutional Corruption Framing

description: This dataset supports the manuscript "Framing Institutional Corruption: A Behavioral Simulation of Moral Judgment and Accountability Narratives." It provides the complete corpus, code, and simulation outputs to analyze how discursive framing—reformist, punitive, and neutral—affects moral judgment, blame attribution, and trust in institutional actors.
The dataset includes:

1. Simulation Code and Outputs
• vignette_simulation.py: Main script executing simulations using structured case vignettes under different framing conditions.
• simulation_results.csv & simulation_results_adjusted.csv: Structured outputs, including moral judgment scores, trust metrics, and blame attributions.
• moral_simulation_analysis.py: Summarizes simulation results and generates visualizations of trust and accountability outcomes.
• agent_comparison_table.py: Code to compare agent architectures (rule-based vs. pseudo-GPT-simulated).
• vignette_simulation_results.csv: Full matrix of agent responses across all conditions.

2. Case-Specific Analysis Scripts
• FIFA_analysis.py, sarkozy_analysis.py, corruption_analysis.py: Parse discourse across official, media, and institutional texts using keyword detection for rhetorical strategies (reformism, minimization, externalization).
• topic_modelling.py: Applies unsupervised topic modeling to reveal thematic clustering in institutional communication.

3. Original Textual Corpora (Case Documents)
To ensure transparency and allow replication of the discourse analysis:
• FIFA: DOJ press release, victims compensation memo, 2023 Disciplinary Report, and media articles from The Guardian.
• Sarkozy: Trial proceedings, French court summaries, Reuters defense articles, and media coverage texts.
• Airbus: 2025 Airbus Code of Conduct and associated ethics documentation.
These are provided as individual .txt files within each case folder. All documents were preprocessed for natural language analysis but are also shared in their original form for verification and qualitative review.

4. Agent Simulation Design
Simulated agents include:
• Rule-based agents: Encode moral logic (e.g., utilitarian, deontological).
• Pseudo-GPT-simulated agents: Python-coded agents mimicking the flexible reasoning style observed in LLM outputs without querying any transformer-based models.
No pre-trained language models or external APIs were used. All simulations were developed offline using Python logic.
This dataset allows full replication of both the qualitative discourse analysis and the quantitative behavioral simulation pipeline, and it is intended for use by researchers in AI ethics, organizational studies, and computational social science.
DOI: 10.15468/dl.m2yy3t
title: Occurrence Download

description: A dataset containing 957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctibatrachus Boulenger, 1882"
 ]
}

 The dataset includes 957 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015219-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwygvg4b74.1
title: Efficient Real-Time Bed Occupancy Monitoring Using Toy-Mounted Accelerometer Data

description: We gather this dataset for toy-basedbed occupancy monitoring. An MPU-6050 IMU is affixed to a plush toy on the bed, and the accelerometer data are collected from the IMU. The accelerometer operates at up to 1 kHz, with a range of ±2 g, a 16-bit ADC, and a noise density of 400 𝜇g/√Hz. Data recorded over two hours, yielding a dataset of 720 10-second samples collected from 5 voluntary subjects for classification among four activities: entering the bed, lying still, turning over, and exiting the bed. The subjects, all of standard body measurements, were instructed to perform these activities without movement pattern restrictions, thereby naturally incorporating movement diversity into the dataset.
DOI: 10.17632/2dy4hgn9fw.1
title: Green-lipped mussel associations with macroalgae on a mussel reef in New Zealand

description: The goal of this study was to develop and test a tool that has the potential to aid restoration practitioners in the selection of suitable natural substrates for overcoming substrate limitation at mussel reef restoration sites in New Zealand and potentially elsewhere across the globe. This study aimed to; 1) create an index that scores the morphological features of macroalgae for their potential to support juvenile mussel recruitment based on prior published data, 2) compare the relative performance of various macroalgae species with differing morphology as attachment substrates for three size classes of juvenile green-lipped mussels or Perna canaliculus on two remnant mussel reefs, and 3) use these findings to evaluate the accuracy with which the index can predict the presence of attached juvenile mussels among macroalgal substrates based on the morphology of the macroalgae. This data details the presence of three different size classes of juvenile green-lipped mussels (i.e., &lt;10 mm, 10 - &lt;20 mm, and 20 - &lt;30 mm in shell length) attached to different species of macroalgae sampled on two remnant intertidal mussel reefs in northeastern New Zealand (Waipu Cove and Pakiri Beach). The presence of juvenile mussels in each size class on macroalgal substrates is reported as total counts and as the proportion (%) of each species of macroalga observed during the reef sampling that exhibited juvenile mussel attachments. The macroalgae species that supported the highest juvenile mussel presence per mussel size class have the most promise for use in overcoming substrate limitation at mussel reef restoration sites.
Scores (1-3) for each of the eight morphological features of macroalgae (i.e., canopy cover, canopy height, holdfast complexity, clustering frequency, planes of branching, branch spacing, degree of branching, and branch width) were generated for each species of macroalga by the Macroalgal Morphology Index (MMI). These scores were tested against the presence of juvenile mussels attached to each species of macroalga using a linear discriminant analysis (LDA) to determine the accuracy of the MMI's scoring criteria. The LDA revealed that collectively, the index scores for each morphological feature were able to predict the likelihood of mussel attachments to macroalgae for juveniles &lt;10 mm in shell length with 75% accuracy but with only 40-60% accuracy for juveniles 10 – &lt;30 mm. Additionally, a 10-fold cross-validation was employed to assess the relative importance of each morphological feature of macroalgae as a predictor of juvenile mussel presence. This revealed that holdfast complexity and canopy cover were the strongest predictors of attached juvenile presence for all three mussel size classes, and planes of branching, branch width, degree of branching, and branch spacing were generally strong predictors of the presence of attached juvenile mussels &lt;10 mm.
DOI: 10.17632/3k8t43xs2x.1
title: Mendatica landslide research data

description: Research data included in this folder represent the inclinometric data, monthly rainfall data and available InSAR data from ERS, Radarsat, Envisat, CosmoSkyMed, Sentinel-1 (Ps, East-West and UP-Down components)
DOI: 10.15468/dl.z9zssf
title: Occurrence Download

description: A dataset containing 52368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lerista Bell, 1833",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52368 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015224-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uzx2h
title: Occurrence Download

description: A dataset containing 365084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acharis ussuriensis (Melichar, 1902), Scaphytopius frontalis (Van Duzee, 1890), Agallia constricta Van Duzee, 1894, Cannabis sativa subsp. indica (Lam.) E.Small & Cronquist, Scorlupella montana (Becker, 1865), Gibberella saubinetii (Durieu & Mont.) Sacc., Cuscuta europaea L., Schiffnerula cannabis McPartl. & S.Hughes, Syspastospora parasitica (Tul.) P.F.Cannon & D.Hawksw., Paralongidorus maximus (Bütschli, 1874), Pseudoperonospora cannabina (G.H.Otth) Curzi, Heterodera humuli Filipjev, 1934, Botryosphaeria cocogena Subileau, Renard & Lacoste, Pseudocercospora calospilea (Syd.) Deighton, Cuscuta approximata Bab., Uromyces apiosporus Hazsl., Trichothecium roseum (Pers.) Link, Paraphomopsis obscurans (Ellis & Everh.) Udayanga & Castl., Podosphaera macularis (Wallr.) U.Braun & S.Takam., Phelipanche ramosa (L.) Pomel, Leptosphaeria acuta (Fuckel) P.Karst., Boeremia exigua (Desm.) Aveskamp, Gruyter & Verkley, Pseudoperonospora cubensis (Berk. & M.A.Curtis) Rostovzev, Epicoccum nigrum Link, Cladosporium herbarum (Pers.) Link, Mycosphaerella tassiana (De Not.) Johanson, Eolagurus luteus (Eversmann, 1840), Rhizomys pruinosus Blyth, 1851, Nesokia indica (Gray, 1830), Sonesimia magna Dmitriev, 2020, Anthidiellum notatum rufimaculatum H.F.Schwarz, 1926, Agapostemon nasutus Smith, 1853, Svastra atripes (Cresson, 1872), Lantanophaga pusillidactylus (Walker, 1864), Dendrocygna viduata (Linnaeus, 1766), Selania capparidana (Zeller, 1847), Stenozygum coloratum (Klug, 1845), Pseudocatolaccus nitescens (Walker, 1834), Sigmophora brevicornis (Panzer, 1804), Colotis evagore (Klug, 1829), Elodina parthia (Hewitson, 1853), Belenois java (Sparrman, 1768), Plutella capparidis Swezey, 1920, Ganyra josephina (Godart, 1819), Mimus melanotis (Gould, 1837), Myiarchus magnirostris (Gould, 1839), Certhidea fusca P.L.Sclater & Salvin, 1870, Geospiza scandens (Gould, 1837), Coccyzus melacoryphus Vieillot, 1817, Geospiza conirostris Ridgway, 1890)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 365084 records from 1272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015215-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.44169.v1/t8
title: "Table 8" of "Measurement of leading proton and neutron production in deep inelastic scattering at HERA."

description: Semi-inclusive structure function for data with forward neutron.
description: DESY-HERA. Measurement of semi-inclusive structure functions (F2) in deep inelastic positron proton scattering with a leading baryon (proton and neutron). The data come from a special trigger in the 1995 and 1996 running periods using proton and neutron calorimeters in the forward spectrometer. The data covers theQ**2 range 2.50 to 50 GeV**2 and x from 0.00006 to 0.006.
DOI: 10.17182/hepdata.44169.v1/t9
title: "Table 9" of "Measurement of leading proton and neutron production in deep inelastic scattering at HERA."

description: Semi-inclusive structure function for data with forward neutron.
description: DESY-HERA. Measurement of semi-inclusive structure functions (F2) in deep inelastic positron proton scattering with a leading baryon (proton and neutron). The data come from a special trigger in the 1995 and 1996 running periods using proton and neutron calorimeters in the forward spectrometer. The data covers theQ**2 range 2.50 to 50 GeV**2 and x from 0.00006 to 0.006.
DOI: 10.17182/hepdata.44170.v1/t1
title: "Table 1" of "Charged particle cross-sections in photoproduction and extraction of the gluon density in the photon"

description: Inclusive gamma-p cross section for charged particles in the photoproduction data.
description: DESY-HERA. Measurement of charged particle production cross sections in photoproduction data from positron-proton collisions at HERA using the data from 1994.
DOI: 10.17182/hepdata.44170.v1/t2
title: "Table 2" of "Charged particle cross-sections in photoproduction and extraction of the gluon density in the photon"

description: The measured differential pseudorapidity distribution for inclusive chargedparticle production.
description: DESY-HERA. Measurement of charged particle production cross sections in photoproduction data from positron-proton collisions at HERA using the data from 1994.
DOI: 10.17182/hepdata.44171.v1/t1
title: "Table 1" of "Measurement of three jet distributions in photoproduction at HERA"

description: Cross section in the specified kinematic range.
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44171.v1/t2
title: "Table 2" of "Measurement of three jet distributions in photoproduction at HERA"

description: The measured 3-jet cross-section w.r.t. the 3-jet invariant mass.
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44171.v1/t3
title: "Table 3" of "Measurement of three jet distributions in photoproduction at HERA"

description: The measured distribution in THETA(P=3).
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44171.v1/t4
title: "Table 4" of "Measurement of three jet distributions in photoproduction at HERA"

description: The measured distribution in PHI(P=3).
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44171.v1/t5
title: "Table 5" of "Measurement of three jet distributions in photoproduction at HERA"

description: The measured distribution of X(P=3).
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44171.v1/t6
title: "Table 6" of "Measurement of three jet distributions in photoproduction at HERA"

description: The measured distribution of X(P=4).
description: DESY-HERA. Measurement of the cross section for the photoproduction of the events containing three jets with a three-jet invariant mass M(3J)& gt;50 GeV. Data come from positron-proton scattering with respective energies 27.5 an d 820 GeV. Jets are found using the KTCLUS finder in the inclusive mode. Jet (3)is the highest energy jet. The second systematic (DSYS) error is due to the uncertainty in the energy scale. The numerical values of figures 3 and 4 come from the hztool routine hz98162.F.
DOI: 10.17182/hepdata.44172.v2/t1
title: "Table 1" of "Forward jet and particle production at HERA"

description: Forward Jet cross section. Axis error includes +- 7/7 contribution (Dependence of the model used to correct the data).
description: DESY-HERA. H1 Collaboration. Study of Forward Jet and Particle Production in the Low x Region. Data comes from 1994 running period. Integrated luminosities are 2.8, 2.0 and 1.2 pb-1 for jets, PI0 and charged particle production respectively.
DOI: 10.17182/hepdata.44172.v2/t2
title: "Table 2" of "Forward jet and particle production at HERA"

description: Forward Di-jet cross section. Axis error includes +- 7/7 contribution (Dependence of the model used to correct the data).
description: DESY-HERA. H1 Collaboration. Study of Forward Jet and Particle Production in the Low x Region. Data comes from 1994 running period. Integrated luminosities are 2.8, 2.0 and 1.2 pb-1 for jets, PI0 and charged particle production respectively.
DOI: 10.17182/hepdata.44172.v2/t3
title: "Figure 3a charged particles" of "Forward jet and particle production at HERA"

description: Data from Figure 3a on charged particle production
description: DESY-HERA. H1 Collaboration. Study of Forward Jet and Particle Production in the Low x Region. Data comes from 1994 running period. Integrated luminosities are 2.8, 2.0 and 1.2 pb-1 for jets, PI0 and charged particle production respectively.
DOI: 10.17182/hepdata.44172.v2/t10
title: "Figure 5a, forward jets" of "Forward jet and particle production at HERA"

description: Data from Figure 5a on forward jet production differential in delta(phi), low x
description: DESY-HERA. H1 Collaboration. Study of Forward Jet and Particle Production in the Low x Region. Data comes from 1994 running period. Integrated luminosities are 2.8, 2.0 and 1.2 pb-1 for jets, PI0 and charged particle production respectively.