cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15572984
title: Temporal changes in Europa's ice shell thickness: Insights from models of convection

description: This repository contains the input files, source code, and datasets associated with the study:

"Temporal changes in Europa's ice shell thickness: Insights from models of convection"

The materials provided here allow for the reproduction of the thermal evolution simulations and figure generation presented in the paper.

Folder Descriptions





data_file/Contains the dataset used in the numerical simulations described in the study.




figure_pdf/Includes all figure files in PDF format, as presented in the publication.




INPUT_file/Provides the input configuration file required to run the thermal evolution model.




python_code/Contains Python scripts used to generate the figures in the paper.




SOURCE_CODE/The full source code of the thermal evolution model used in this research.
DOI: 10.15468/dl.yg57an
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena albopunctata",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 259 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039165-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f28zpd
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinostrobus pyramidalis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 362 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039166-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ebwzg
title: Occurrence Download

description: A dataset containing 6181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pomacea canaliculata"
 ]
}

 The dataset includes 6181 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039170-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuw6rh
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halictus patellatus",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039172-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7byvfa
title: Occurrence Download

description: A dataset containing 950421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "Year 2000-2025"
 ]
}

 The dataset includes 950421 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039135-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnu4mg
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((1.44414 47.37329,1.45218 47.37689,1.45184 47.37886,1.47059 47.38475,1.48335 47.39143,1.4886 47.3967,1.48048 47.4004,1.48329 47.40071,1.48433 47.4059,1.49015 47.40669,1.48981 47.41043,1.48184 47.41097,1.47373 47.40929,1.4655 47.41106,1.45806 47.40985,1.45518 47.41119,1.45444 47.40943,1.44223 47.40646,1.4436 47.40525,1.43971 47.40282,1.43255 47.40295,1.42336 47.39434,1.41759 47.39797,1.4144 47.39485,1.40596 47.39521,1.39738 47.39272,1.39591 47.38454,1.4051 47.38315,1.40916 47.38004,1.4133 47.37912,1.43271 47.37773,1.44414 47.37329)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6519 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039173-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erdmzk
title: Occurrence Download

description: A dataset containing 8100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegilops cylindrica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8100 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039174-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17084816
title: Transcriptomic characterization of potato (Solanum tuberosum) plants treated with a biostimulant

description: Transcriptomic characterization of potato (Solanum tuberosum) plants treated with a biostimulant. Using two different potato genotypes, “Camelia” and “Cicero”, a bifactorial experiment was carried out consisting in two treatments (control and biostimulant) and two conditions (watered and hydric stress). The next table shows the details of the two bifactorial experiments:




Genotype
Replicates
Treatment
Condition
Symbol


Cicero
A1-A3
Control
watered
C


Cicero
B1-B3
Biostimulant
watered
C+mix


Cicero
A4-A6
Control
hydric stress
D


Cicero
B4-B6
Biostimulant
hydric stress
D+mix


Camelia
C1-C3
Control
watered
C


Camelia
D1-D3
Biostimulant
watered
C+mix


Camelia
C4-C6
Control
hydric stress
D


Camelia
D4-D6
Biostimulant
hydric stress
D+mix
DOI: 10.5281/zenodo.17084815
title: Transcriptomic characterization of potato (Solanum tuberosum) plants treated with a biostimulant

description: Transcriptomic characterization of potato (Solanum tuberosum) plants treated with a biostimulant. Using two different potato genotypes, “Camelia” and “Cicero”, a bifactorial experiment was carried out consisting in two treatments (control and biostimulant) and two conditions (watered and hydric stress). The next table shows the details of the two bifactorial experiments:




Genotype
Replicates
Treatment
Condition
Symbol


Cicero
A1-A3
Control
watered
C


Cicero
B1-B3
Biostimulant
watered
C+mix


Cicero
A4-A6
Control
hydric stress
D


Cicero
B4-B6
Biostimulant
hydric stress
D+mix


Camelia
C1-C3
Control
watered
C


Camelia
D1-D3
Biostimulant
watered
C+mix


Camelia
C4-C6
Control
hydric stress
D


Camelia
D4-D6
Biostimulant
hydric stress
D+mix
DOI: 10.15468/dl.chsfkw
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasioglossum xanthopus",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 880 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039175-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6jteb
title: Occurrence Download

description: A dataset containing 783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-70.9029 41.37418,-70.18984 41.37418,-70.18984 41.96826,-70.9029 41.96826,-70.9029 41.37418))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magicicada septendecim"
 ]
}

 The dataset includes 783 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039176-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17631085
title: Project M AI For Science Models v4

description: This analysis of the Project M data was performed using Topas Academic software v7. The input file used is batch_topas.inp - it was executed for all datasets with and without theVaterite phase included. After the runs were completed, the models with and without Vaterite were compared. The model containing Vaterite was chosen when the weighted-phase R-factorfor the refinement was at least 0.1 lower than the value for the Calcite only model. Statistics were then calculated for each additive indivually, all additives combined, and all control samples.In both models, an Amorphous phase was modelled.

* yalc_combined.txt and yobs_combined.txt contain all the calculated and observed data over the fitting region* Calcite_Phase_Out_combined.txt and Amorphous_combined.txt contain all the calculated patterns for the Calcite and Amorphous phases* Vaterite_Phase_Out_combined.txt contains all the calculated Vaterite phases, provided they satisfy the criteria described above
DOI: 10.5281/zenodo.17631084
title: Project M AI For Science Models v4

description: This analysis of the Project M data was performed using Topas Academic software v7. The input file used is batch_topas.inp - it was executed for all datasets with and without theVaterite phase included. After the runs were completed, the models with and without Vaterite were compared. The model containing Vaterite was chosen when the weighted-phase R-factorfor the refinement was at least 0.1 lower than the value for the Calcite only model. Statistics were then calculated for each additive indivually, all additives combined, and all control samples.In both models, an Amorphous phase was modelled.

* yalc_combined.txt and yobs_combined.txt contain all the calculated and observed data over the fitting region* Calcite_Phase_Out_combined.txt and Amorphous_combined.txt contain all the calculated patterns for the Calcite and Amorphous phases* Vaterite_Phase_Out_combined.txt contains all the calculated Vaterite phases, provided they satisfy the criteria described above
DOI: 10.21227/y3av-6k25
title: "Short term Load Forecasting"

description: "Short-term power load forecasting faces inherent challenges such as non-stationarity and strong randomness. Traditional modeling approaches are limited in their ability to capture spatiotemporal features and address complex uncertainties. To overcome these limitations, this study proposes an innovative predictive framework based on a Crowned Pig Optimization (CPO)-enhanced Convolutional Neural Network\u2013Long Short-Term Memory (CNN-LSTM) hybrid model. In this framework, the Convolutional Neural Network (CNN) autonomously extracts spatial features from power load data, while the Long Short-Term Memory (LSTM) network captures temporal dependencies and long-term trends. Subsequently, the CPO algorithm is employed to optimize critical hyperparameters of the CNN-LSTM model, including the learning rate, number of hidden nodes, and regularization coefficients. This iterative global optimization process reduces the likelihood of local optima and identifies optimal configurations. Comparative experiments with multiple forecasting models demonstrate that the proposed CPO-CNN-LSTM model achieves superior performance in short-term load prediction, exhibiting high accuracy and robust stability. Evaluation metrics, including a Mean Absolute Error (MAE) of 89.0866 and a Mean Squared Error (MSE) of 18,400.8438, confirm the model\u2019s effectiveness. Moreover, the framework demonstrates strong practical applicability, enhanced computational efficiency, and excellent capacity to handle complex power system data. Overall, the proposed model not only improves predictive accuracy and stability but also reduces training time, underscoring its significant potential for real-world smart grid applications."
DOI: 10.15468/dl.e4cpnm
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthophora crinipes",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 414 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039179-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5q8sg
title: Occurrence Download

description: A dataset listing the 182 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is POL.6.7_1",
 "Geometry POLYGON((19.6663 50.17929,19.67053 50.16237,19.6914 50.1483,19.71954 50.15943,19.69968 50.17184,19.69517 50.18177,19.68855 50.18067,19.68561 50.18665,19.67835 50.18738,19.6663 50.17929))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 182 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039168-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27226953
title: The Self-Control Ability Scale: Measuring a Key Construct of Situational Action Theory

description: Situational Action Theory (SAT) has emerged as a prominent theory of crime and delinquency. It includes a new conceptualization of self-control, which emphasizes its role in enabling individuals to adhere to their morality when deliberating about deviant and non-deviant action alternatives. However, existing self-control scales do not directly capture this role of self-control as a guardian of personal morality when externally challenged. To close this gap, we developed and validated the Self-Control Ability Scale (SCAS) to measure an individual’s self-perceived ability to withstand temptation, provocation, or social pressure when they conflict with their personal morality. We present the results of four studies that provide evidence for the three-dimensional structure of the SCAS, the reliability of its measures, its validity, and its measurement invariance across age, gender, and language. The SCAS promises more informative tests of SAT and new insights into individuals’ ability to adhere to their morality when challenged.
DOI: 10.6084/m9.figshare.27226953.v1
title: The Self-Control Ability Scale: Measuring a Key Construct of Situational Action Theory

description: Situational Action Theory (SAT) has emerged as a prominent theory of crime and delinquency. It includes a new conceptualization of self-control, which emphasizes its role in enabling individuals to adhere to their morality when deliberating about deviant and non-deviant action alternatives. However, existing self-control scales do not directly capture this role of self-control as a guardian of personal morality when externally challenged. To close this gap, we developed and validated the Self-Control Ability Scale (SCAS) to measure an individual’s self-perceived ability to withstand temptation, provocation, or social pressure when they conflict with their personal morality. We present the results of four studies that provide evidence for the three-dimensional structure of the SCAS, the reliability of its measures, its validity, and its measurement invariance across age, gender, and language. The SCAS promises more informative tests of SAT and new insights into individuals’ ability to adhere to their morality when challenged.
DOI: 10.6084/m9.figshare.26510644
title: Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method

description: Risk-needs assessments (RNAs) are an evidence-based practice used by practitioners to assign supervision and programming. While foundational to day-to-day practices, these tools are typically applied ‘off-the shelf,’ and are mistakenly assumed to demonstrate equivalent prediction accuracy regardless of location or population. Although researchers and providers are aware these tools experience performance shrinkage, the issue is commonly ignored. In 2016 the Tennessee Department of Correction (TDOC) collaborated with the developers of the Static Risk Offender Needs Guide – Revised (STRONG-R) to create a staged development of a locallydeveloped risk needs assessment. Using propensity score matching, a proxy sample was used to create an initial version of the STRONG-R, representing a TDOC-like sample. This version was deployed in 2017. Following data collection, developers recrafted the tool with local data to make Version 2.0. Findings demonstrate improved performance using this innovative method, effectively eliminating performance shrinkage for the TDOC STRONG-R.
DOI: 10.6084/m9.figshare.26510644.v1
title: Never Going to Let You Down: Preventing Predictive Shrinkage via the STRONG-R Assessment Method

description: Risk-needs assessments (RNAs) are an evidence-based practice used by practitioners to assign supervision and programming. While foundational to day-to-day practices, these tools are typically applied ‘off-the shelf,’ and are mistakenly assumed to demonstrate equivalent prediction accuracy regardless of location or population. Although researchers and providers are aware these tools experience performance shrinkage, the issue is commonly ignored. In 2016 the Tennessee Department of Correction (TDOC) collaborated with the developers of the Static Risk Offender Needs Guide – Revised (STRONG-R) to create a staged development of a locallydeveloped risk needs assessment. Using propensity score matching, a proxy sample was used to create an initial version of the STRONG-R, representing a TDOC-like sample. This version was deployed in 2017. Following data collection, developers recrafted the tool with local data to make Version 2.0. Findings demonstrate improved performance using this innovative method, effectively eliminating performance shrinkage for the TDOC STRONG-R.
DOI: 10.6084/m9.figshare.28424514.v1
title: Advancing the Study of Adverse Childhood Experiences: An Examination of Measurement and Latent Classes

description: The study of adverse childhood experiences (ACEs) and their association with negative outcomes has heavily influenced several disciplines, including the field of victimology. However, substantial limitations surrounding the conceptualization and measurement of ACEs have restricted our understanding of these experiences and how they may influence other forms of victimization across racial and ethnic groups. The purpose of the current study was to examine the measurement of 10 ACE subscales among a sample of 993 young, non-college educated women. Then, latent class analysis was used to estimate and predict ACE profiles that were used as correlates for understanding risk of stalking and sexual harassment victimization for White, Black, and Hispanic women. Measurement invariance tests supported the psychometric equivalence of the ACEs construct across race/ethnicity. While a four-class solution was identified as being the best fit, different ACE profiles were important correlates for victimization outcomes by race/ethnicity. Estimating latent classes in particular may advance the measurement of ACEs by moving beyond an overarching measure and instead examining the combinations of profiles that can impact other forms of victimization experiences. Overall, this knowledge advances information about the experiences that increase vulnerability to two victimization types that commonly impact women of diverse backgrounds.
DOI: 10.6084/m9.figshare.28429504
title: Development and Validation of a Tool to Measure Relative Disadvantage and Disproportionate Risk of Criminal-Legal System Involvement

description: Few studies examine the role of structural racism as a driver of racial disparities in the criminal-legal system, likely owing to the lack of validated measures. We developed a tool to measure relative disadvantage as it relates to disproportionate likelihood of criminal-legal system involvement. We used exploratory (EFA) and confirmatory (CFA) factor analysis to develop and validate full- and short-form versions of the Relative Disadvantage Tool in two quota samples of U.S. adults (<i>N</i> = 510 and <i>N</i> = 209). EFA results showed a 4-factor solution with 20 items representing distinct domains: early criminal-legal system exposure; early relationships; perceptions of systemic barriers; and socioeconomic well-being. CFA results confirmed the factor structure across both tools and samples. Findings supported the construct and criterion validity of both tools. Use of the tool in research and practice may advance understanding of drivers of disparities and promote equitable decision-making in the criminal-legal system.
DOI: 10.6084/m9.figshare.28429504.v1
title: Development and Validation of a Tool to Measure Relative Disadvantage and Disproportionate Risk of Criminal-Legal System Involvement

description: Few studies examine the role of structural racism as a driver of racial disparities in the criminal-legal system, likely owing to the lack of validated measures. We developed a tool to measure relative disadvantage as it relates to disproportionate likelihood of criminal-legal system involvement. We used exploratory (EFA) and confirmatory (CFA) factor analysis to develop and validate full- and short-form versions of the Relative Disadvantage Tool in two quota samples of U.S. adults (<i>N</i> = 510 and <i>N</i> = 209). EFA results showed a 4-factor solution with 20 items representing distinct domains: early criminal-legal system exposure; early relationships; perceptions of systemic barriers; and socioeconomic well-being. CFA results confirmed the factor structure across both tools and samples. Findings supported the construct and criterion validity of both tools. Use of the tool in research and practice may advance understanding of drivers of disparities and promote equitable decision-making in the criminal-legal system.
DOI: 10.15468/dl.e9pwba
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucera caspica",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039180-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sy42q
title: Occurrence Download

description: A dataset containing 1989251 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is one of (e5150835-f502-424c-b470-24dd496b1b18, cadfe257-a0d1-4106-9f9f-77ab1dcf1349)"
 ]
}

 The dataset includes 1989251 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039169-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.