cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17726636
title: BH_V1_TCONST_V2 — Temporal Scaling Constant in the Informational Coherence Model (MCI)

description: BH_V1_TCONST_V2 contains the canonical numerical test of the temporal scaling constant predicted by the Informational Coherence Model (MCI).The test uses a 2D Gross–Pitaevskii (GPE) solver with a soft volcano potential (BH-V1 V2) and a coherent 5+1 seed.Three evaporating runs (BH_LARGE, BH_MEDIUM, BH_SMALL) are included, together with all numerical diagnostics, metadata, and the notebook used to reproduce every result.

The goal is to verify the MCI temporal law:

t∝1N0,t \propto \frac{1}{\sqrt{N_0}},t∝N01,

where N0N_0N0 is the initial informational content measured inside an intermediate annulus [0.3L, 0.7L][0.3L,\,0.7L][0.3L,0.7L].The triad exhibits clear evaporation and produces a temporal scaling exponent a≈−0.74a \approx -0.74a≈−0.74, compatible with the theoretical value a=−0.5a=-0.5a=−0.5 within numerical uncertainties.The derived temporal constant is:

Kt=t1/2N0≈162±22,K_t = t_{1/2}\sqrt{N_0} \approx 162 \pm 22,Kt=t1/2N0≈162±22,

while the fundamental radiative constant of the MCI remains:

frad=16,f_{\mathrm{rad}} = \frac{1}{6},frad=61,

and the global temporal constant recovered in the H0 / L1 / L1′ series matches:

Kt(global)≈frad2≈0.0833.K_t^{(\mathrm{global})} \approx \frac{f_{\mathrm{rad}}}{2} \approx 0.0833.Kt(global)≈2frad≈0.0833.

The archive includes:





all run data (runs/)




full numerical diagnostics (analysis/)




metadata (meta/meta.json)




the canonical notebook (BH_V1_TCONST_V2_notebook.ipynb)




README, LICENSE, CITATION file




preview figure (preview.png)



This dataset is the official reference implementation of the MCI temporal constant test.
DOI: 10.25824/redu/th1dpf
title: Quadros, tabelas e gráficos da tese "Emoção na audiodescrição de cinema de terror: uma proposta para Enjaulado (1997) de Kleber Mendonça Filho"

description: Os dados foram coletados durante a pesquisa de doutorado, a qual propôs um estudo da audiodescrição na perspectiva dos gêneros, selecionando para tal o gênero terror. Nesse sentido, foi proposta uma audiodescrição para o filme de terror psicológico "Enjaulado" (1997), de Kleber Mendonça Filho, seguida de uma pesquisa exploratória com vistas a avaliar o impacto emocional de duas versões de audiodescrição (uma com locução protocolar e outra com locução expressiva) e a preferência dos participantes em relação às duas possíveis locuções. Os dados contemplam a audiodescrição proposta, informações gerais dos participantes da pesquisa exploratória, autoavaliação emocional dos participantes às duas versões de audiodescrição (com locução protocolar e expressiva) e preferência dos participantes em relação às duas locuções (protocolar e expressiva)
DOI: 10.5281/zenodo.17701573
title: BH-V1 v1-A — Synthetic Informational Black Hole (GPE Test) and Comparison with M87*

description: This record presents the synthetic configuration BH-V1 v1-A, generated from a 2D Gross–Pitaevskii evolution and interpreted within the framework of the Modello di Coerenza Informazionale (MCI).The package includes all numerical data, the EHT-style processed image, and a reproducible Jupyter notebook for comparing the synthetic ring with the published 2019 EHT image of M87*.

The analysis is divided into:





extraction of the BH-V1 ring structure




production of an “EHT-style soft” image




radial and azimuthal profile comparison




2D contour and difference maps




quantitative metrics on ring similarity



This release represents Version 1, corresponding to the non-rotating BH-V1 synthetic configuration. A second version, including rotation and the MCI radiative coefficient frad≈0.1666f_{\text{rad}} \approx 0.1666frad≈0.1666, will be released in the next phase of the project.

The real M87* image is not included, but the notebook provides automatic downloading instructions through the official EHT 2019 public release.

All files required for full reproducibility are contained inside the ZIP.
DOI: 10.5281/zenodo.17701572
title: BH-V1 v1-A — Synthetic Informational Black Hole (GPE Test) and Comparison with M87*

description: This record presents the synthetic configuration BH-V1 v1-A, generated from a 2D Gross–Pitaevskii evolution and interpreted within the framework of the Modello di Coerenza Informazionale (MCI).The package includes all numerical data, the EHT-style processed image, and a reproducible Jupyter notebook for comparing the synthetic ring with the published 2019 EHT image of M87*.

The analysis is divided into:





extraction of the BH-V1 ring structure




production of an “EHT-style soft” image




radial and azimuthal profile comparison




2D contour and difference maps




quantitative metrics on ring similarity



This release represents Version 1, corresponding to the non-rotating BH-V1 synthetic configuration. A second version, including rotation and the MCI radiative coefficient frad≈0.1666f_{\text{rad}} \approx 0.1666frad≈0.1666, will be released in the next phase of the project.

The real M87* image is not included, but the notebook provides automatic downloading instructions through the official EHT 2019 public release.

All files required for full reproducibility are contained inside the ZIP.
DOI: 10.5281/zenodo.18433897
title: Fabrication and Metrology of SiC Cladding and Seals for Containment and Heat Transfer Applications

description: Dataset for tolerances associated with SiC encapsulations for ThO3 chargeable atomic batteries. Paper located at: https://doi.org/10.12688/nuclscitechnolopenres.17457.1
DOI: 10.5281/zenodo.18433896
title: Fabrication and Metrology of SiC Cladding and Seals for Containment and Heat Transfer Applications

description: Dataset for tolerances associated with SiC encapsulations for ThO3 chargeable atomic batteries. Paper located at: https://doi.org/10.12688/nuclscitechnolopenres.17457.1
DOI: 10.5281/zenodo.18166813
title: Johnsonetal2026_FuelBreakConfigurationsData

description: Read Me for Johnson et al 2026 Fuel Break Configuration paper data

There are three main folders

1) Flammap2) DEMs3) Fuelbreak_polygons4) Outputs folder with subfolders5) Categorized fuel breaks 

The Flammap folder contains 4 folders with the prefix XX_data, with XX indicating the acronym for the associated landscape.In each data folder there is an inputs folder, that contains flammap fire model inputs, and four folders that contain flammap outputs used for analysis.

The DEMs folder contains DEMs used to calculate TPI.

The Fuelbreak_polygons folder contain fuel break polygon data used to calculate model covariates.
DOI: 10.5281/zenodo.18422834
title: Johnsonetal2026_FuelBreakConfigurationsData

description: Read Me for Johnson et al 2026 Fuel Break Configuration paper data

There are three main folders

1) Flammap2) DEMs3) Fuelbreak_polygons4) Outputs folder with subfolders5) Categorized fuel breaks 

The Flammap folder contains 4 folders with the prefix XX_data, with XX indicating the acronym for the associated landscape.In each data folder there is an inputs folder, that contains flammap fire model inputs, and four folders that contain flammap outputs used for analysis.

The DEMs folder contains DEMs used to calculate TPI.

The Fuelbreak_polygons folder contain fuel break polygon data used to calculate model covariates.
DOI: 10.6084/m9.figshare.31211827
title: Amphiregulin drives mitochondrial vesicle packaging and delivery for immune modulation

description: Amniotic Epithelial Cells (AECs) exhibit paracrine immunoregulatory functions, however the effectors within their extracellular vesicles (EVs) are poorly defined. Using label-free proteomics and genetic approaches, we profiled the secretome of ovine AECs under basal and lipopolysaccharide (LPS)-mimicking inflammatory stimuli. Microvesicles (MVs) emerged as the main LPS-responsive EVs, selectively enriching 169 proteins involved in immunometabolism and stress signaling. Among these, the Epidermal Growth Factor ligand Amphiregulin (AREG) was enriched in MVs after LPS. AREG silencing (siAREG) abolished mitochondria packaging into MVs impairing their delivery to immune cells. siAREG-MVs exhibited reduced uptake by Peripheral Blood Mononuclear Cells (PBMCs) and T-cells, diminishing their capacity to suppress proliferation and CD3-dependent NFAT activation. Supplementation with exogenous AREG partially restored mitochondrial transfer and immunosuppression, supporting a dual immunoregulatory role for AREG in AEC biology. These findings elucidate the immunomodulatory function of AEC-derived MVs and highlight AREG- mediated vesicular signaling as a promising immunotherapeutic target for cell-free strategies.
DOI: 10.6084/m9.figshare.31211827.v1
title: Amphiregulin drives mitochondrial vesicle packaging and delivery for immune modulation

description: Amniotic Epithelial Cells (AECs) exhibit paracrine immunoregulatory functions, however the effectors within their extracellular vesicles (EVs) are poorly defined. Using label-free proteomics and genetic approaches, we profiled the secretome of ovine AECs under basal and lipopolysaccharide (LPS)-mimicking inflammatory stimuli. Microvesicles (MVs) emerged as the main LPS-responsive EVs, selectively enriching 169 proteins involved in immunometabolism and stress signaling. Among these, the Epidermal Growth Factor ligand Amphiregulin (AREG) was enriched in MVs after LPS. AREG silencing (siAREG) abolished mitochondria packaging into MVs impairing their delivery to immune cells. siAREG-MVs exhibited reduced uptake by Peripheral Blood Mononuclear Cells (PBMCs) and T-cells, diminishing their capacity to suppress proliferation and CD3-dependent NFAT activation. Supplementation with exogenous AREG partially restored mitochondrial transfer and immunosuppression, supporting a dual immunoregulatory role for AREG in AEC biology. These findings elucidate the immunomodulatory function of AEC-derived MVs and highlight AREG- mediated vesicular signaling as a promising immunotherapeutic target for cell-free strategies.
DOI: 10.5281/zenodo.18434101
title: Egoistic versus Prosocial Decision Making: an Eye Movement Data Report

description: Eye tracking data collected in fourteen experiments with SensoMotoric Instruments mobile eye‐tracking glasses, including data from 14 subjects (7 women, aged 20–40 years) with 4,180 visual behavior metrics summaries and 3,744 eye movement records in decision-related areas of attention during Prisoner's Dilemma tasks. The dataset comprises two datasheets: aggregate eye movement metrics and AOI-based eye movement records. Data may be applicable in computational modeling of oculomotor activity to explain decision processes and predict outcomes.
DOI: 10.5281/zenodo.18434102
title: Egoistic versus Prosocial Decision Making: an Eye Movement Data Report

description: Eye tracking data collected in fourteen experiments with SensoMotoric Instruments mobile eye‐tracking glasses, including data from 14 subjects (7 women, aged 20–40 years) with 4,180 visual behavior metrics summaries and 3,744 eye movement records in decision-related areas of attention during Prisoner's Dilemma tasks. The dataset comprises two datasheets: aggregate eye movement metrics and AOI-based eye movement records. Data may be applicable in computational modeling of oculomotor activity to explain decision processes and predict outcomes.
DOI: 10.6084/m9.figshare.31211461
title: 4D-DIA-based proteomics analysis reveals changes in expression during palatal development.

description: Palatal mesenchymal cells play important roles in the formation of palate. A proteomics approach was employed combined with bioinformatics analysis to profile protein changes in mouse embryonic palatal mesenchyme (MEPM) cells during palate development (E13.5-16.5), aiming to elucidate molecular mechanisms. Protein changes were revealed by four-dimensional independent data acquisition (4D-DIA) proteomics.
DOI: 10.6084/m9.figshare.31211461.v1
title: 4D-DIA-based proteomics analysis reveals changes in expression during palatal development.

description: Palatal mesenchymal cells play important roles in the formation of palate. A proteomics approach was employed combined with bioinformatics analysis to profile protein changes in mouse embryonic palatal mesenchyme (MEPM) cells during palate development (E13.5-16.5), aiming to elucidate molecular mechanisms. Protein changes were revealed by four-dimensional independent data acquisition (4D-DIA) proteomics.
DOI: 10.5281/zenodo.18433438
title: Egoistic versus Prosocial Decision Making: an Eye Movement Data Report

description: Eye tracking data collected in fourteen experiments with SensoMotoric Instruments mobile eye‐tracking glasses, including data from 14 subjects (7 women, aged 20–40 years) with 4,180 visual behavior metrics summaries and 3,744 eye movement records in decision-related areas of attention during Prisoner's Dilemma tasks. The dataset comprises two datasheets: aggregate eye movement metrics and AOI-based eye movement records. Data may be applicable in computational modeling of oculomotor activity to explain decision processes and predict outcomes.
DOI: 10.5281/zenodo.18434016
title: Dataset supporting Estrela et al. (2008): 10-minute fog-water collection and meteorological observations (Valencia Region, Spain), 2004

description: This Zenodo record provides the original 10-minute (10-min) time series of passive fog-water collection and basic meteorological observations measured during year 2004 at four mountain sites in the Valencia Region (eastern Spain). These data were used in the analyses and results reported in the associated journal article (see “Related publication” below).

Files included1) Data files (10-min, year 2004)

Bartolo.xlsx, 

Mondúver.xlsx

Montgó.xlsx

Peñarroya.xlsx

Each file contains 10-minute records for 2004 with the following columns:

FECHA — date and time (timestamp)

H_SOLAR — solar time

DIR_M — mean wind direction (degrees)

VEL_M — mean wind speed (m/s)

VEL_X — maximum wind speed (m/s)

TEMP_M — mean air temperature (°C)

HR — relative humidity (%)

PRECIP — precipitation (L/m²)

FOG — fog-water yield (L/m²)

2) Site metadata

Site_locations.xlsxCoordinates and site metadata for the four instrumented locations.

3) Variable documentation

Data_description.txtConcise variable definitions, units, and notes for interpretation.

Related publication (please cite)

Estrela, M. J., Valiente, J. A., Corell, D., & Millán, M. M. (2008). Fog collection in the western Mediterranean basin (Valencia region, Spain). Atmospheric Research, 87(3–4), 324–337. https://doi.org/10.1016/j.atmosres.2007.11.013

Funding

This research was supported by the Ministerio de Ciencia y Tecnología (Spain), contract REN2001-1086/HID.

Keywords

fog water; fog collection; meteorology; Mediterranean; water resources; Valencia Region; Spain; 10-minute data; passive collectors

How to cite

If you use these data, please cite (i) this Zenodo dataset (the DOI assigned by Zenodo) and (ii) the related publication listed above.
DOI: 10.5281/zenodo.18434017
title: Dataset supporting Estrela et al. (2008): 10-minute fog-water collection and meteorological observations (Valencia Region, Spain), 2004

description: This Zenodo record provides the original 10-minute (10-min) time series of passive fog-water collection and basic meteorological observations measured during year 2004 at four mountain sites in the Valencia Region (eastern Spain). These data were used in the analyses and results reported in the associated journal article (see “Related publication” below).

Files included1) Data files (10-min, year 2004)

Bartolo.xlsx, 

Mondúver.xlsx

Montgó.xlsx

Peñarroya.xlsx

Each file contains 10-minute records for 2004 with the following columns:

FECHA — date and time (timestamp)

H_SOLAR — solar time

DIR_M — mean wind direction (degrees)

VEL_M — mean wind speed (m/s)

VEL_X — maximum wind speed (m/s)

TEMP_M — mean air temperature (°C)

HR — relative humidity (%)

PRECIP — precipitation (L/m²)

FOG — fog-water yield (L/m²)

2) Site metadata

Site_locations.xlsxCoordinates and site metadata for the four instrumented locations.

3) Variable documentation

Data_description.txtConcise variable definitions, units, and notes for interpretation.

Related publication (please cite)

Estrela, M. J., Valiente, J. A., Corell, D., & Millán, M. M. (2008). Fog collection in the western Mediterranean basin (Valencia region, Spain). Atmospheric Research, 87(3–4), 324–337. https://doi.org/10.1016/j.atmosres.2007.11.013

Funding

This research was supported by the Ministerio de Ciencia y Tecnología (Spain), contract REN2001-1086/HID.

Keywords

fog water; fog collection; meteorology; Mediterranean; water resources; Valencia Region; Spain; 10-minute data; passive collectors

How to cite

If you use these data, please cite (i) this Zenodo dataset (the DOI assigned by Zenodo) and (ii) the related publication listed above.
DOI: 10.5281/zenodo.17400167
title: Unidimensional Phenotypes using Concurrent Imaging Collected Via a High-Throughput Imaging System

description: Single-Dimension Modality Imagery Dataset (SIMID) and the Single-Dimension Perspective Imagery Dataset (SIPID) are dataset repositories used to compute Single-Aspect Phenotypes. SAPP has 28 samples and SAPM has 12 samples. Each dataset contains:



Two species physically different. Buckwheat is a thin plant with a variety sizes of leaves and Sunflower is a bushy plant that contains flowering;

the most commonly used induced environments in plant phenotyping such as a control and drought-induced; 

a temporal resolution that begins with the plants vegetative stage and ends with the plant fully matured;

modalities (infrared, visible, near infrared) that are commonly used in plant phenotyping analysis; and 

multiple perspectives that are becoming widely acquired in plant phenotyping analysis due to its potential for three dimensional analysis.


We thank Vincent Stoeger for acquiring the dataset using LemnaTec at the University of Nebraska-Lincoln.

If you use this dataset, please cite this paper:
description: This material is based upon work supported by the National Science Foundation under Grant No. DGE-1735362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Also, the authors acknowledge the support provided by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production.
DOI: 10.5281/zenodo.6862958
title: Unidimensional Phenotypes using Concurrent Imaging Collected Via a High-Throughput Imaging System

description: Single-Dimension Modality Imagery Dataset (SIMID) and the Single-Dimension Perspective Imagery Dataset (SIPID) are dataset repositories used to compute Single-Aspect Phenotypes. SAPP has 28 samples and SAPM has 12 samples. Each dataset contains:



Two species physically different. Buckwheat is a thin plant with a variety sizes of leaves and Sunflower is a bushy plant that contains flowering;

the most commonly used induced environments in plant phenotyping such as a control and drought-induced; 

a temporal resolution that begins with the plants vegetative stage and ends with the plant fully matured;

modalities (infrared, visible, near infrared) that are commonly used in plant phenotyping analysis; and 

multiple perspectives that are becoming widely acquired in plant phenotyping analysis due to its potential for three dimensional analysis.


We thank Vincent Stoeger for acquiring the dataset using LemnaTec at the University of Nebraska-Lincoln.

If you use this dataset, please cite this paper:
description: This material is based upon work supported by the National Science Foundation under Grant No. DGE-1735362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Also, the authors acknowledge the support provided by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production.
DOI: 10.5281/zenodo.18433594
title: Experimental Performance Dataset for an Omnidirectional Soft Sleeve Actuator

description: This dataset provides experimental performance measurements for multiple omnidirectional soft sleeve actuator (OSSA) prototypes. It includes force outputs measured during axial (linear) actuation and bending actuation, enabling comparison of load generation across motion modes and designs. The dataset also reports displacement responses for axial extension under positive pressure, axial contraction under vacuum actuation, and bending deformation (e.g., bending angle and/or tip deflection, depending on the test configuration). In addition, it contains dynamic characterization data for the linear actuation mode acquired under controlled pneumatic inputs, supporting analysis of transient response, tracking behavior, and frequency-dependent performance.
DOI: 10.5281/zenodo.18433593
title: Experimental Performance Dataset for an Omnidirectional Soft Sleeve Actuator

description: This dataset provides experimental performance measurements for multiple omnidirectional soft sleeve actuator (OSSA) prototypes. It includes force outputs measured during axial (linear) actuation and bending actuation, enabling comparison of load generation across motion modes and designs. The dataset also reports displacement responses for axial extension under positive pressure, axial contraction under vacuum actuation, and bending deformation (e.g., bending angle and/or tip deflection, depending on the test configuration). In addition, it contains dynamic characterization data for the linear actuation mode acquired under controlled pneumatic inputs, supporting analysis of transient response, tracking behavior, and frequency-dependent performance.
DOI: 10.6084/m9.figshare.31211931
title: Semiparametric Joint Modeling for Survival Analysis with Longitudinal Covariates

description: Characterizing the association between survival time and the dynamic patterns of a longitudinal covariate trajectory is of particular interest in many studies. Classical time-dependent survival models focus mainly on the link between the concurrent covariate value and the instantaneous hazard function. Consequently, the conditional survival function is often not properly defined on the whole time range, which causes difficulty in model estimation and interpretation. In this article, we propose a novel semiparametric joint modeling approach, in which the observed longitudinal trajectory is modeled as a random realization of a latent functional pattern. We assume each latent pattern uniquely indexes a global survival function via a log-linear functional regression model. Because the observational time interval of the longitudinal data depends on the survival time, we propose to jointly model the longitudinal and survival data. By using the latent pattern as an infinite-dimensional shared parameter, our approach extends the classical parametric joint modeling method to a semiparametric setting. We show that the proposed estimator achieves the semiparametric efficiency bound. Simulation studies and a real data application demonstrate the advantageous finite sample performances of our new approach.