cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vvwy6ndv9g.1
title: Harnessing senolytics and PARP inhibition to expand the antitumor activity of CDK4/6 inhibitors in prostate cancer

description: Includes RNAseq data from prostate cancer models before and after treatment with the CDK4/6 inhibitor abemaciclib.
DOI: 10.5281/zenodo.14514932
title: Data table for EoS SNSH(TM1e) nparam=3

description: The data table for the EoS SNSH(TM1e) of the family General Purpose EoS with 3 parameters 
                can be found via this link  compose.obspm.fr/eos/144 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/144).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14514933
title: Data table for EoS SNSH(TM1e) nparam=3

description: The data table for the EoS SNSH(TM1e) of the family General Purpose EoS with 3 parameters 
                can be found via this link  "compose.obspm.fr/eos/144" together with additional information on the EoS.
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14811628
title: Data table for EoS SNSH(TM1e) nparam=3

description: The data table for the EoS SNSH(TM1e) of the family General Purpose EoS with 3 parameters 
                can be found via this link  compose.obspm.fr/eos/144 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/144).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.15468/dl.3g4a3m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Licaria velutina van der Werff)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016001-250127130748423/datasets/export for details.
DOI: 10.17632/847bvc7g38.1
title: Positive anticipated affective reactions increase pro-environmental behavior, data files

description: Affective reactions have been linked to pro-environmental behaviors (PEBs), but it is unclear if positive (warm glow, hope) or negative (worry, hopelessness) is more impactful in motivating action. In this pre-registered study we used a unique longitudinal dataset from a Swedish sample to reveal that positive affect predicts more engagement in PEBs, and negative affect predicts less engagement in PEBs. A mediation model also suggests that anticipated (i.e. expected feelings of) positive affect is related to past pro-environmental engagement and could partly predict future PEBs. Hence, affective reactions may be one way to increase intrinsic motivation for a more sustainable lifestyle.
DOI: 10.5281/zenodo.14514934
title: Data table for EoS SHT(NL3) (with electrons) nparam=2

description: The data table for the EoS SHT(NL3) (with electrons) of the family Neutron Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/42 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/42).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14514935
title: Data table for EoS SHT(NL3) (with electrons) nparam=2

description: The data table for the EoS SHT(NL3) (with electrons) of the family Neutron Matter EoS with 2 parameters can be found via this link  "compose.obspm.fr/eos/42" together with additional information on the EoS. Please be aware that in particular the authors of the equation of state can be found in the references below and on the Compose data base ( compose.obspm.fr/eos/42). Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.

The online service CompOSE provides data tables for different state of the art equations of state (EoS) ready for further usage in astrophysical applications, nuclear physics and beyond. CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual contributors. In particular, we gratefully acknowledge support by :



CompStar, Research Networking Programs of the European Science Foundation (ESF)

NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304).

PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.5281/zenodo.14811649
title: Data table for EoS SHT(NL3) (with electrons) nparam=2

description: The data table for the EoS SHT(NL3) (with electrons) of the family Neutron Matter EoS with 2 parameters 
                can be found via this link  compose.obspm.fr/eos/42 together with additional information on the EoS.
                 
                Please be aware that in particular the authors of the equation of state can be found in the references below and on the 
                Compose data base ( compose.obspm.fr/eos/42).
                Thus if you use this entry, please cite the original references together with the link to the table. We are working currently on rectifying the automatic citation from zenodo with author information on the equation of state.
                
                
                
                The online service CompOSE provides data tables for different state of the art equations of state (EoS) 
                ready for further usage in astrophysical applications, nuclear physics and beyond.
                
                
                CompOSE would not be possible without the financial and organizational support from a large number of institutions and individual
                contributors. In particular, we gratefully acknowledge support by :
                

                
CompStar, Research Networking Programs of the European Science Foundation (ESF)
                
NewCompStar, "Exploring fundamental physics with compact stars" (MPNS COST action MP1304). 
                
PHAROS, "The multi-messenger physics and astrophysics of neutron stars" within the EU framework programme (COST action CA16214).
DOI: 10.15468/dl.hg4bqy
title: Occurrence Download

description: A dataset containing 2004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AGO.16_1",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 2004 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016002-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bj8hsz5j64.1
title: XRD data of sediments from retention ponds of saline mine wates in S Poland

description: PANalytical X'Pert PRO PW 3040/60 X-ray diffractometer equipped with a cobalt anode tube and X'Celerator detector (University of Silesia) was used to determine crystalline phases in the sediment samples. The samples were scanned within a 2θ interval of 5–90°, with a precise step size (0.02 2θ) and a long counting time (300 s).
DOI: 10.5281/zenodo.14514901
title: copy error

description: copy error
DOI: 10.5281/zenodo.14514902
title: copy error

description: copy error
DOI: 10.17632/4dcmmvt7yz.1
title: Ab initio simulations on metal-silicate partitioning of phosphorus during Earth’s core formation

description: Table S1 contains the fitted parameters of a local third-order finite strain expression, corresponding a Birch-Murnaghan equation-of-state for the metallic and silicate system at 10-135 GPa and 3000-5000 K. Table S2-S3 show the detailed data of two-phase coexistence simulations. Table S4 shows the detailed data. Table S5 shows the raw data of thermodynamic integration calculations. Table S6 shows the compilation of dataset from previous experiments.
DOI: 10.17632/ncw2vbcgnk.1
title: Stacked Ensemble Model for Accurate Crop Yield Prediction Using Machine Learning Techniques

description: We used historical data for crop yield in 27 Indian states and 3 Union Territories of India, covering the years 1997 to 2020. The dataset consists of 19,689 data points, each with ten features including Crop, Season, Crop_Year, State, Annual_Rainfall, Area, Production, Pesticide, Fertilizer, and Yield. The dataset encompasses 55 different types of crops cultivated across India. The crop yield dataset was used to prediction of crop yield using regression with stacking ensemble model. The dataset is split into training 80% and testing 20%.
DOI: 10.17632/ncw2vbcgnk.2
title: Stacked Ensemble Model for Accurate Crop Yield Prediction Using Machine Learning Techniques

description: We used historical data for crop yield in 27 Indian states and 3 Union Territories of India, covering the years 1997 to 2020. The dataset consists of 19,689 data points, each with ten features including Crop, Season, Crop_Year, State, Annual_Rainfall, Area, Production, Pesticide, Fertilizer, and Yield. The dataset encompasses 55 different types of crops cultivated across India. The crop yield dataset was used to prediction of crop yield using regression with stacking ensemble model. The dataset is split into training 80% and testing 20%.
DOI: 10.17632/kckpk2yrtg.1
title: EEG data for "Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives".

description: EEG data for "Shared spectral fingerprints of temporal memory precision and representation of the temporal structure of complex narratives" in edf format alog with trigger in evt format.
DOI: 10.17632/rvc5w2j6nj.1
title: Brauner - Cognitive and Ethical Dimensions of Surrealist Art Engagement

description: This dataset was designed to explore the interplay between cognitive adaptability, ethical sensitivity, and symbolic complexity inspired by Victor Brauner's surrealist artworks. It integrates simulated data and features derived from neuroaesthetic principles, psychological constructs, and visual metrics. The dataset supports machine learning and interpretive analysis for understanding decision-making processes under uncertainty.

Features
Symbolic Density: Measures the complexity of symbolic motifs within the artworks, ranging from minimal to intricate compositions.
Visual Ambiguity: Quantifies perceptual tension and interpretive challenges presented by the art.
Color Composition: Reflects tonal harmony and balance, a key aesthetic element.
Eye-Tracking Metrics: Simulated patterns that represent gaze fixation and engagement with specific visual elements.
EEG Patterns: Simulated neurophysiological data indicating neural engagement with artistic stimuli.
Intuitive Decision-Making Scale (IDMS): A psychological construct capturing participants' decision-making intuitiveness.
Cognitive Flexibility: Evaluates adaptability in decision-making across ambiguous contexts.
Ethical Sensitivity: Represents participants' ability to discern ethical considerations in complex scenarios.
Predicted Engagement: Binary or continuous variable indicating the likelihood of ethical engagement or cognitive adaptability.
Artworks Analyzed: Composition with Portrait (1949), Self-Portrait (1931), Prelude to Civilization (1954), Le Rencontre du 2 bis rue Perrel (1934), Le Grand Transparent (1947), The Wolf Table (1947), and La Fin et le Début (1947)
Purpose
The dataset underpins research into the cognitive and ethical dimensions of leadership and decision-making, with applications in behavioral economics, experimental psychology, and neuroaesthetics. It is a foundation for training machine learning models and interpretive analyses, enabling the study of non-linear relationships and feature interactions.

Applications
Leadership Development: Training leaders to navigate ambiguity and ethical dilemmas through exposure to artistic stimuli.
Behavioral Economics: Investigating how aesthetic experiences influence decision-making, risk tolerance, and ethical trade-offs.
Machine Learning Models: Testing the efficacy of predictive models like Random Forests and Gradient Boosting for understanding cognitive and ethical engagement.
Format
File Type: CSV
Number of Rows: Determined by the simulation process (e.g., 1,000 observations).
Columns: Features described above, supplemented by interaction terms for advanced analyses.
Ethical Considerations
The dataset uses simulated data to avoid privacy concerns and variability in subjective interpretations, ensuring controlled and replicable results.

Future Directions
This dataset provides a robust basis for empirical validation with real-world participant data and broader applications in economic psychology and leadership studies.
DOI: 10.15468/dl.pgegxv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nectandra cissiflora Nees)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016003-250127130748423/datasets/export for details.
DOI: 10.17632/rvc5w2j6nj.2
title: Brauner - Cognitive and Ethical Dimensions of Surrealist Art Engagement

description: This dataset was designed to explore the interplay between cognitive adaptability, ethical sensitivity, and symbolic complexity inspired by Victor Brauner's surrealist artworks. It integrates simulated data and features derived from neuroaesthetic principles, psychological constructs, and visual metrics. The dataset supports machine learning and interpretive analysis for understanding decision-making processes under uncertainty.

Features
Symbolic Density: Measures the complexity of symbolic motifs within the artworks, ranging from minimal to intricate compositions.
Visual Ambiguity: Quantifies perceptual tension and interpretive challenges presented by the art.
Color Composition: Reflects tonal harmony and balance, a key aesthetic element.
Eye-Tracking Metrics: Simulated patterns that represent gaze fixation and engagement with specific visual elements.
EEG Patterns: Simulated neurophysiological data indicating neural engagement with artistic stimuli.
Intuitive Decision-Making Scale (IDMS): A psychological construct capturing participants' decision-making intuitiveness.
Cognitive Flexibility: Evaluates adaptability in decision-making across ambiguous contexts.
Ethical Sensitivity: Represents participants' ability to discern ethical considerations in complex scenarios.
Predicted Engagement: Binary or continuous variable indicating the likelihood of ethical engagement or cognitive adaptability.
Artworks Analyzed: Composition with Portrait (1949), Self-Portrait (1931), Prelude to Civilization (1954), Le Rencontre du 2 bis rue Perrel (1934), Le Grand Transparent (1947), The Wolf Table (1947), and La Fin et le Début (1947)
Purpose
The dataset underpins research into the cognitive and ethical dimensions of leadership and decision-making, with applications in behavioral economics, experimental psychology, and neuroaesthetics. It is a foundation for training machine learning models and interpretive analyses, enabling the study of non-linear relationships and feature interactions.

Applications
Leadership Development: Training leaders to navigate ambiguity and ethical dilemmas through exposure to artistic stimuli.
Behavioral Economics: Investigating how aesthetic experiences influence decision-making, risk tolerance, and ethical trade-offs.
Machine Learning Models: Testing the efficacy of predictive models like Random Forests and Gradient Boosting for understanding cognitive and ethical engagement.
Format
File Type: CSV
Number of Rows: Determined by the simulation process (e.g., 1,000 observations).
Columns: Features described above, supplemented by interaction terms for advanced analyses.
Ethical Considerations
The dataset uses simulated data to avoid privacy concerns and variability in subjective interpretations, ensuring controlled and replicable results.

Future Directions
This dataset provides a robust basis for empirical validation with real-world participant data and broader applications in economic psychology and leadership studies.
DOI: 10.17632/vzfr3tbnh3.1
title: Biogeochemical cycling of trace metals during the green tide alga bloom
DOI: 10.15128/r1k930bx08z
title: Integrating green hydrogen into building-distributed multi-energy systems with water recirculation [dataset]

description: This study proposes integrating a building-distributed multi-energy system (BDMES) with green hydrogen to decarbonise electricity generation for buildings. By producing and consuming green hydrogen locally at the building site, using a water electrolyser and proton exchange membrane fuel cell (PEMFC), the reliance on costly, energy and carbon-intensive hydrogen transportation is eliminated. This integration presents an opportunity for energy autonomy, achieved by locally green hydrogen production, storage, and usage. More importantly, the proposed system enables water recirculation between the electrolyser and PEMFC, an effective option worldwide to conserve water resources, and reduce environmental impact. Models are developed to investigate the interaction mechanisms among the photovoltaic (PV) module, water electrolyser, fuel cell, and cooling system. Case study results for a residential building in Aberdeen, UK are presented and discussed, maximum 75 solar panels can be installed on the 150m2 roof area. Since less solar energy can be harvested in this area, in the peak hour of one summer day, 11 solar panels are required to meet 100 % daily maximum building energy demand and ensure 100 % water recirculation. In one winter-day, total 75 solar panels can only meet 26 % of total building energy demand.
description: This study presented a proton exchange membrane water electrolyser and fuel cell system powered by renewable energy to meet building energy demands, achieve electricity decarbonisation and achieve energy autonomy. . The methodology of this study involves the design and simulation of a proposed system for integrating green hydrogen into building applications.The system aims to achieve a material cycle of water, oxygen, and hydrogen in an electrolytic cell-fuel cell system. The water recirculation for the system and the case study results for a residential building in Aberdeen, UK, have been considered.
DOI: 10.17632/7fb9jn2wcs.1
title: EJOR-G16: detailed results and instructions

description: Detailed results, instructions and validator for the paper "A new effective heuristic for the Prisoner Transportation Problem" 
https://doi.org/10.1016/j.ejor.2020.01.027
DOI: 10.17632/7fb9jn2wcs.2
title: EJOR-G16: detailed results and instructions

description: Detailed results, instructions and validator for the paper "A new effective heuristic for the Prisoner Transportation Problem" 
https://doi.org/10.1016/j.ejor.2025.01.029
DOI: 10.25500/edata.bham.00001240
title: Data to accompany "Native ambient mass spectrometry of membrane proteins directly from bacterial colonies"