cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25420/britishmuseum.31158562.v1
title: Consent Release

description: Consent Release – photographs, video and/or audio recordings and documents for the EMKP Digital Repository and Database by Alexandra Cholkovan, Collaborator 2
DOI: 10.17632/328g7zyt9d.1
title: Spheroid growth assays as a function of glutamine, pyruvate, biotin and FBXW7.

description: We hypothesized that 293T spheroids could model proliferation as a result of nutrient (glutamine, pyruvate, biotin) and genetic (FBXW7 KO) perturbation. Our data shows that in the absence of glutamine, pyruvate rescues proliferation only upon biotin supplementation and FBXW7 expression.
DOI: 10.24431/rw1kai3
title: Copepod body size measurements for multiple species from the Bering Sea spanning the time range 2003-2018

description: This dataset consists of body size measurements from archived zooplankton samples collected from the Bering Sea. Zooplankton data were collected using paired, bongo net tows as part of routine ecosystem assessments conducted by the Alaska Fisheries Science Center. The dataset consists of prosome length (body size) measurements in millimeters (mm) for multiple copepod taxa that are common in the Bering Sea. It consists of one csv file. The size file contains the research cruise name, the year of collection, the start date/time of each cruise, the end data/time of each cruise, the total number of stations used to generate the size data, the maximum latitude for each cruise, the minimum latitude for each cruise, the maximum longitude for each cruise, the minimum longitude for each cruise, the gear used for collection, the taxonomic name of the copepod, the life-history stage of the copepod, and the prosome length in mm.
DOI: 10.5281/zenodo.18330950
title: Spatial dynamics of native vegetation, pasture, and grain cultivation in the Amazon, Cerrado and Pantanal biomes: Simulation of land use and land cover from 2024 to 2030

description: Project overview

This project aimed to model scenarios of agricultural intensification and remnant conservation by simulating future deforestation in the Amazon, Cerrado, and Pantanal Brazilian biomes. It also assessed avoided deforestation to better understand the dynamics underlying land-use transitions. The project is a joint initiative between the Image Processing and Geoprocessing Laboratory (LAPIG–UFG) and The Nature Conservancy (TNC).Dataset description

This dataset contains the outputs of spatial land-use and land-cover (LULC) modeling performed using the Dinamica EGO software (https://csr.ufmg.br/dinamica). Three future scenarios were simulated, representing different levels of native vegetation protection and land-use intensification. The dataset includes four LULC classes: Native Vegetation, Pasture, Mosaic, and Soy. All layers are provided at a 30-meter spatial resolution and are projected in ESRI:102033 (South America Albers Equal Area Conic).

Scenarios

The scenarios represent contrasting land-use governance and intensification pathways, including:



Business-as-usual land-use dynamics (BAU);

Increased protection of native vegetation and strictly blocks pasture expansion over native vegetation (TNC1)

Intensified use of pasturelands with constraints, while strictly blocking pasture expansion over native vegetation (TNC2).


Temporal coverage

Baseline year: 2023Projection horizon: 2030

Methodological notes

Spatial simulations were conducted using Dinamica EGO, integrating land-use transitions derived from MapBiomas data (https://brasil.mapbiomas.org/en/), spatial predictors, and scenario-specific constraints. The resulting outputs represent potential future land-use patterns under different environmental and legall assumptions. The complete modeling framework, including scripts and parameters used to generate the scenarios, is available at:https://github.com/lapig-ufg/Scenarios-project

Intended use and limitations

This dataset is intended for scenario analysis, spatial planning, policy assessment, and research on land-use change and conservation strategies. Results should be interpreted as scenario-based projections and not as precise forecasts of future land-use outcomes.

 

Acknowledgements

This research was supported by LaMCAD/UFG.
DOI: 10.5281/zenodo.18330951
title: Spatial dynamics of native vegetation, pasture, and grain cultivation in the Amazon, Cerrado and Pantanal biomes: Simulation of land use and land cover from 2024 to 2030

description: Project overview

This project aimed to model scenarios of agricultural intensification and remnant conservation by simulating future deforestation in the Amazon, Cerrado, and Pantanal Brazilian biomes. It also assessed avoided deforestation to better understand the dynamics underlying land-use transitions. The project is a joint initiative between the Image Processing and Geoprocessing Laboratory (LAPIG–UFG) and The Nature Conservancy (TNC).Dataset description

This dataset contains the outputs of spatial land-use and land-cover (LULC) modeling performed using the Dinamica EGO software (https://csr.ufmg.br/dinamica). Three future scenarios were simulated, representing different levels of native vegetation protection and land-use intensification. The dataset includes four LULC classes: Native Vegetation, Pasture, Mosaic, and Soy. All layers are provided at a 30-meter spatial resolution and are projected in ESRI:102033 (South America Albers Equal Area Conic).

Scenarios

The scenarios represent contrasting land-use governance and intensification pathways, including:



Business-as-usual land-use dynamics (BAU);

Increased protection of native vegetation and strictly blocks pasture expansion over native vegetation (TNC1)

Intensified use of pasturelands with constraints, while strictly blocking pasture expansion over native vegetation (TNC2).


Temporal coverage

Baseline year: 2023Projection horizon: 2030

Methodological notes

Spatial simulations were conducted using Dinamica EGO, integrating land-use transitions derived from MapBiomas data (https://brasil.mapbiomas.org/en/), spatial predictors, and scenario-specific constraints. The resulting outputs represent potential future land-use patterns under different environmental and legall assumptions. The complete modeling framework, including scripts and parameters used to generate the scenarios, is available at:https://github.com/lapig-ufg/Scenarios-project

Intended use and limitations

This dataset is intended for scenario analysis, spatial planning, policy assessment, and research on land-use change and conservation strategies. Results should be interpreted as scenario-based projections and not as precise forecasts of future land-use outcomes.

 

Acknowledgements

This research was supported by LaMCAD/UFG.
DOI: 10.5281/zenodo.18433986
title: LINF_320017000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18433987
title: LINF_320017000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15320277
title: i-Motif, not G-quadruplex, stability regulates insulin expression
DOI: 10.5281/zenodo.15320278
title: i-Motif, not G-quadruplex, stability regulates insulin expression
DOI: 10.34740/kaggle/dsv/14678933
title: Indian General Insurance Industry Data (FY2023-24)
DOI: 10.15468/dl.qrktyg
title: Occurrence Download

description: A dataset containing 109014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tilia platyphyllos",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 109014 records from 1118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002269-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17780951
title: MicroBooNE v2 — Informational Coherence Test (MCI)

description: This Version 3 adds the reproducibility package (MICROBOONE_V2_ZENODO.zip) that was included 

in Version 1 but missing from Version 2. The archive contains all scripts, manifests, CSV 

outputs, checksums, and the minimal environment required to reproduce the informational 

coherence test (parametric-null and max-T pipelines).

 

No scientific results have been changed relative to Version 2; this update simply restores 

the full dataset package for completeness.

 



La Versione 3 aggiunge il pacchetto di riproducibilità (MICROBOONE_V2_ZENODO.zip) che era 

presente nella Versione 1 ma mancante nella Versione 2. L’archivio contiene tutti gli script, 

i manifest, gli output CSV, gli hash di controllo e l’ambiente minimale necessario per 

riprodurre il test di coerenza informazionale (pipeline parametric-null e max-T).

 

Nessun risultato scientifico è stato modificato rispetto alla Versione 2; questa versione 

reintegra semplicemente il pacchetto completo ai fini della riproducibilità.
DOI: 10.5281/zenodo.17384657
title: MicroBooNE v2 — Informational Coherence Test (MCI)

description: This Version 3 adds the reproducibility package (MICROBOONE_V2_ZENODO.zip) that was included 

in Version 1 but missing from Version 2. The archive contains all scripts, manifests, CSV 

outputs, checksums, and the minimal environment required to reproduce the informational 

coherence test (parametric-null and max-T pipelines).

 

No scientific results have been changed relative to Version 2; this update simply restores 

the full dataset package for completeness.

 



La Versione 3 aggiunge il pacchetto di riproducibilità (MICROBOONE_V2_ZENODO.zip) che era 

presente nella Versione 1 ma mancante nella Versione 2. L’archivio contiene tutti gli script, 

i manifest, gli output CSV, gli hash di controllo e l’ambiente minimale necessario per 

riprodurre il test di coerenza informazionale (pipeline parametric-null e max-T).

 

Nessun risultato scientifico è stato modificato rispetto alla Versione 2; questa versione 

reintegra semplicemente il pacchetto completo ai fini della riproducibilità.
DOI: 10.5281/zenodo.17755759
title: Final Keck Uranus 2007 RPX images of the mu and nu rings

description: Data were obtained with the Keck telescope around the time of the ring plane crossing (RPX), July/August 2007. The following final images have been uploaded here:

Kp (2.2 micron) mages of the rings from 26/27 July and 8 Aug. 2007

 H (1.6 micron) images from 9 Aug. 2007.

All images are calibrated and converted to I/F, and are scaled in size to July 2004, where 1 pixel=139.96 km.

For calibration, and the paper discussing the uranian main rings during Ring Plane Crossing RPX:  see de Pater et al., 2013;  DOI: 10.1016/j.icarus.2013.08.001 

The outer ring system is discussed in: de Pater et al., 2026: DOI:

The original data can be downloaded from the Keck (KOA) Archive.
DOI: 10.5281/zenodo.17755760
title: Final Keck Uranus 2007 RPX images of the mu and nu rings

description: Data were obtained with the Keck telescope around the time of the ring plane crossing (RPX), July/August 2007. The following final images have been uploaded here:

Kp (2.2 micron) mages of the rings from 26/27 July and 8 Aug. 2007

 H (1.6 micron) images from 9 Aug. 2007.

All images are calibrated and converted to I/F, and are scaled in size to July 2004, where 1 pixel=139.96 km.

For calibration, and the paper discussing the uranian main rings during Ring Plane Crossing RPX:  see de Pater et al., 2013;  DOI: 10.1016/j.icarus.2013.08.001 

The outer ring system is discussed in: de Pater et al., 2026: DOI:

The original data can be downloaded from the Keck (KOA) Archive.
DOI: 10.5517/ccdc.csd.cc28lpl5
title: CCDC 2103337: Experimental Crystal Structure Determination

description: Related Article: Tong Yang, Yan Liu, Jing Qiu, Hongwei Zhang, Fenghong Li, Yue Wang|2022|Chem.Eng.Journal|432|134405|doi:10.1016/j.cej.2021.134405
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc1wn
title: CCDC 2155581: Experimental Crystal Structure Determination

description: Related Article: Tatiana N. Borodina, Vladimir I. Smirnov, Valeriy Yu. Serykh, Igor B. Rozentsveig|2023|J.Mol.Model.|29|136|doi:10.1007/s00894-023-05549-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bchv2
title: CCDC 2156014: Experimental Crystal Structure Determination

description: Related Article: Tatiana N. Borodina, Vladimir I. Smirnov, Valeriy Yu. Serykh, Igor B. Rozentsveig|2023|J.Mol.Model.|29|136|doi:10.1007/s00894-023-05549-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bchw3
title: CCDC 2156015: Experimental Crystal Structure Determination

description: Related Article: Tatiana N. Borodina, Vladimir I. Smirnov, Valeriy Yu. Serykh, Igor B. Rozentsveig|2023|J.Mol.Model.|29|136|doi:10.1007/s00894-023-05549-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17764925
title: BH-V1 Synthetic Black Hole Tests (M87 Comparison + Temporal Constant) MCI Project — Full Reproducible Package

description: Abstract

This package provides the complete reproducible dataset for the MCI BH-V1 synthetic black-hole tests, including:(1) the M87-like ring simulation obtained through a dedicated autotuning scan,(2) the BH-V1 V2 soft configuration with rotation,(3) the evaporating triad (BH_LARGE / BH_MEDIUM / BH_SMALL) used to extract the MCI temporal constant.All scripts, images, diagnostics and raw numerical arrays are included in a single structured archive.The results demonstrate:– the stability of the synthetic MCI ring in M87-like conditions,– the emergence of rotational phase structure,– the evaporation law t ∝ 1/√N₀ and the resulting temporal constant K_t ≈ 4.3.This dataset is fully reproducible and aligned with previous MCI Zenodo releases.
DOI: 10.5281/zenodo.17764926
title: BH-V1 Synthetic Black Hole Tests (M87 Comparison + Temporal Constant) MCI Project — Full Reproducible Package

description: Abstract

This package provides the complete reproducible dataset for the MCI BH-V1 synthetic black-hole tests, including:(1) the M87-like ring simulation obtained through a dedicated autotuning scan,(2) the BH-V1 V2 soft configuration with rotation,(3) the evaporating triad (BH_LARGE / BH_MEDIUM / BH_SMALL) used to extract the MCI temporal constant.All scripts, images, diagnostics and raw numerical arrays are included in a single structured archive.The results demonstrate:– the stability of the synthetic MCI ring in M87-like conditions,– the emergence of rotational phase structure,– the evaporation law t ∝ 1/√N₀ and the resulting temporal constant K_t ≈ 4.3.This dataset is fully reproducible and aligned with previous MCI Zenodo releases.
DOI: 10.5281/zenodo.18433671
title: Supporting dataset and scripts for "Ba2+ Complements Co2+ Exchange as a Reporter of Al Proximity in CHA Zeolites"

description: Dataset Description: 

This dataset includes all CONTCARs and python files used for energy analysis and titration simulations. It is organized as follows:

1. Divalent_Metals Folder



CONTCARs files: Geometry optimized structure per divalent metal and Al pair configuration.

Jupyter Notebook: Python-based notebook to generate Figure 2 and Figure S1

Dataset: ASE generate database with each performed DFT calculations


2. Z2Ba_vs_ZBaOH Folder



CONTCARs files: Two folders with CONTCAR files used for evaluate the exchange energy between 2Al and 1Al site


3.Al_Distribution_and_Titration_Models Folder



CURANTO: Python scripts with network-based Al distribution algorithm

Jupyter Notebook: Python-based notebook to generate Al distribution samples. And notebook to generate the titration analysis plots.
DOI: 10.5281/zenodo.18433670
title: Supporting dataset and scripts for "Ba2+ Complements Co2+ Exchange as a Reporter of Al Proximity in CHA Zeolites"

description: Dataset Description: 

This dataset includes all CONTCARs and python files used for energy analysis and titration simulations. It is organized as follows:

1. Divalent_Metals Folder



CONTCARs files: Geometry optimized structure per divalent metal and Al pair configuration.

Jupyter Notebook: Python-based notebook to generate Figure 2 and Figure S1

Dataset: ASE generate database with each performed DFT calculations


2. Z2Ba_vs_ZBaOH Folder



CONTCARs files: Two folders with CONTCAR files used for evaluate the exchange energy between 2Al and 1Al site


3.Al_Distribution_and_Titration_Models Folder



CURANTO: Python scripts with network-based Al distribution algorithm

Jupyter Notebook: Python-based notebook to generate Al distribution samples. And notebook to generate the titration analysis plots.
DOI: 10.5281/zenodo.16572166
title: H2CM - daily simulations

description: Dataset overview

This archive contains the daily, global output of our Hybrid Hydrological Carbon‑Cycle Model (H2CM) from a 10‑fold cross‑validation experiment. Each of the ten NetCDF files corresponds to one held‑out fold and provides model predictions on a regular 1°×1° latitude–longitude grid for the period 1 January 2001 through 31 December 2019.

Spatial and temporal resolution





Spatial grid: 180 latitudes (from 89.5° N to 89.5° S) × 360 longitudes (from 179.5° W to 179.5° E)




Temporal resolution: daily time steps (6939 days total)



Variables and units






Variable
Description
Units




gpp
Gross primary productivity
g C m⁻² day⁻¹


npp
Net primary productivity
g C m⁻² day⁻¹


nee
Net ecosystem exchange (gpp – ter)
g C m⁻² day⁻¹


Ra
Autotrophic respiration
g C m⁻² day⁻¹


Rh
Heterotrophic respiration
g C m⁻² day⁻¹


ter
Total ecosystem respiration (Ra + Rh)
g C m⁻² day⁻¹


T
Transpiration
mm day⁻¹


ET
Evapotranspiration
mm day⁻¹


snow_acc
Snow accumulation
mm day⁻¹


snow_melt
Snow melt
mm day⁻¹


swe
Snow water equivalent (snowpack storage)
mm


Ei
Interception evaporation
mm day⁻¹


Es
Soil evaporation
mm day⁻¹


r_soil
Soil recharge
mm day⁻¹


r_gw
Groundwater recharge
mm day⁻¹


runoff_surface
Surface runoff
mm day⁻¹


baseflow
Baseflow
mm day⁻¹


runoff_total
Total runoff (surface runoff + baseflow)
mm day⁻¹


SM
Soil moisture storage
mm


sm_max
Maximum soil moisture capacity
mm


GW
Groundwater storage
mm


tws
Total water storage (all pools)
mm


tws_anomaly
Total water storage anomaly
mm




 


 

Purpose and usage

These files support evaluation of H2CM’s ability to predict carbon and water fluxes under a cross‑validation framework. By providing ten independent model realizations—each omitting one fold of training data—users can:





Assess spatial and temporal uncertainties in both carbon and hydrological estimates




Reproduce key results on model performance in tropical, arid, and temperate regions




Integrate these outputs into further analyses of terrestrial ecosystem responses to climate variability



Users may load any single fold for standalone analysis or combine multiple folds to derive ensemble means, confidence intervals, and sensitivity metrics.

Additional information

If you encounter any issues, have questions about how to load or interpret the data, or would like access to additional variables or alternative aggregations that aren’t included here, please don’t hesitate to get in touch. We’re always happy to help troubleshoot, share more detailed outputs, or discuss how best to integrate these model results into your research.
DOI: 10.25345/c5vd6pj61
title: MassIVE MSV000100663 - Physiological viscosity enhances cell metabolism and migration via LAT1/mTORC1
title: Cell migration is an energy-intensive process required for many physiological and pathological events, including cancer metastasis and embryonic development. Physical cues from the microenvironment can affect cell migration by altering cell metabolism. Here we demonstrate that extracellular fluid viscosity can promote amino acid influx through SLC7A5/SLC3A2, resulting in enhanced mTORC1 signaling, increased mitochondrial energetics, ATP production, cytoskeleton remodeling, and faster cell migration. Amino acid sensing via GATOR1, Ragulator and Rheb mediate cell response to viscosity. Physiological viscosity (5.5 cP) enhances mitochondrial membrane potential within 1 minute before any significant changes in cytoskeleton organization are observed while actin polymerization and AMPK signaling are dispensable for increasing mitochondrial energetics. Extensive metabolic reprogramming occurs within 48 hours, underscoring the importance of this often-overlooked physical parameter. Cells require leucine, cysteine and serine supplementation, rather than glucose, to enhance migration speed. Our findings have important implications for understanding cell migration under more physiological conditions than conventional in vitro cultures characterized by low viscosity and glucose dependence
DOI: 10.5281/zenodo.14211787
title: Codes for 'Stronger daytime than nighttime soil respiration responses amplify warming-driven carbon losses'
DOI: 10.5281/zenodo.18433923
title: Codes for 'Stronger daytime than nighttime soil respiration responses amplify warming-driven carbon losses'
DOI: 10.5281/zenodo.17726637
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.