cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15776996
title: Inter-American Society of Clinical Cardiology Consensus on the Integrated Management of Acute Coronary Syndromes: Evidence-Based Strategies, Regional Adaptations, and Multidisciplinary Approaches for Equitable Cardiovascular Care in Latin America

description: Preamble

The Inter-American Society of Clinical Cardiology (SIAC) aims to reduce the burden of acute

coronary syndromes (ACS), including ST-elevation myocardial infarction (STEMI) and non-ST-

elevation ACS (NSTE-ACS), in Latin America, where cardiovascular disease is a leading cause of

death. This consensus adapts global evidence-based practices (e.g., ACC/AHA 2020 guidelines)

to address regional challenges such as healthcare disparities, limited resources, and cultural

diversity. It provides a framework for timely diagnosis, treatment, and prevention, emphasizing

equitable access and patient-centered care.
DOI: 10.15468/dl.sf7zq9
title: Occurrence Download

description: A dataset listing the 1470 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.43488 15.43671,-93.1045 15.43671,-93.1045 15.7088,-93.43488 15.7088,-93.43488 15.43671))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1470 records were derived from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081635-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st8mcp
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melignomon zenkeri Reichenow, 1898",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 83 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081656-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t9hgvk2h9p
title: Cotton Leaf Image Dataset for Disease Classification

description: This dataset comprises high-resolution images of cotton leaves categorized by disease type and health condition. It is structured into two parts: the Original Dataset and the Augmented Dataset.

Original Dataset 
The original set contains real-world images of cotton leaves affected by various diseases, alongside healthy specimens. The images are labeled into the following five classes:

- Alternaria Leaf Spot: 173 images 
- Bacterial Blight: 218 images 
- Fusarium Wilt: 337 images 
- Healthy Leaf: 333 images 
- Verticillium Wilt: 312 images

Augmented Dataset 
To enhance diversity and improve model robustness, data augmentation techniques were applied to the original images. The resulting augmented dataset includes:

- aug_Alternaria_Leaf: 987 images 
- aug_Bacterial_Blight: 1027 images 
- aug_Fusarium_Wilt: 957 images 
- aug_Healthy_Leaf: 1015 images 
- aug_Verticillium_Wilt: 977 images

This dataset is well-suited for research in plant pathology, machine learning, and image classification tasks related to agriculture and crop health monitoring.
DOI: 10.17632/t9hgvk2h9p.1
title: Cotton Leaf Image Dataset for Disease Classification

description: This dataset comprises high-resolution images of cotton leaves categorized by disease type and health condition. It is structured into two parts: the Original Dataset and the Augmented Dataset.

Original Dataset 
The original set contains real-world images of cotton leaves affected by various diseases, alongside healthy specimens. The images are labeled into the following five classes:

- Alternaria Leaf Spot: 173 images 
- Bacterial Blight: 218 images 
- Fusarium Wilt: 337 images 
- Healthy Leaf: 333 images 
- Verticillium Wilt: 312 images

Augmented Dataset 
To enhance diversity and improve model robustness, data augmentation techniques were applied to the original images. The resulting augmented dataset includes:

- aug_Alternaria_Leaf: 987 images 
- aug_Bacterial_Blight: 1027 images 
- aug_Fusarium_Wilt: 957 images 
- aug_Healthy_Leaf: 1015 images 
- aug_Verticillium_Wilt: 977 images

This dataset is well-suited for research in plant pathology, machine learning, and image classification tasks related to agriculture and crop health monitoring.
DOI: 10.17632/6vt95rvb7j
title: Enhancing Food Delivery Efficiency: A Time Prediction Model Using LSTM

description: Data set for Food Delivery
DOI: 10.17632/6vt95rvb7j.1
title: Enhancing Food Delivery Efficiency: A Time Prediction Model Using LSTM

description: Data set for Food Delivery
DOI: 10.17632/yjr3fdbjp9
title: Uncropped western blots for Paudel et al., 2025

description: Uncropped western blots for the study "Paudel et al., Anti-tumorigenic properties by trichothiodystrophy mutations in melanocytic cells."
DOI: 10.17632/yjr3fdbjp9.1
title: Uncropped western blots for Paudel et al., 2025

description: Uncropped western blots for the study "Paudel et al., Anti-tumorigenic properties by trichothiodystrophy mutations in melanocytic cells."
DOI: 10.17632/xddxk59j9f
title: Runoff Simulation

description: Runoff Simulation
DOI: 10.17632/xddxk59j9f.1
title: Runoff Simulation

description: Runoff Simulation
DOI: 10.17632/2jd6k2xjwb
title: Cognitive and temperamental determinants of orientation illusions

description: The database contains the results of a study that aimed to find the cognitive and temperamental predictors of susceptibility to orientation illusions on an example of Poggendorff and Zöllner figures. 161 participants aged 20–33. The database includes the results obtained by the respondents in the tasks: Visual Illusion Simulation, Embedded Figure Test, Attention Network Test, The Formal Characteristics of Behavior – Temperament Inventory.

With consideration of the current knowledge, we hypothesized that those who are more susceptible to orientation (Poggendorff and Zöllner) illusions are field-dependent people (H1). Susceptibility to these illusions is further dependent on weak efficiency of the alerting and orienting attentional networks (H2). We also propose two moderation models where temperament is a moderator of the relationship between susceptibility to orientation illusions and cognitive factors (H3): Model 1 – field-dependence/independence cognitive style; Model 2 – the efficiency of attentional networks.

The results showed that there is no one universal mechanism that explains susceptibility to the examined orientation illusions. We found that susceptibility to the Poggendorff illusion was related only to weak efficiency of the alerting network. Susceptibility to the Zöllner illusion was found to be related to both cognitive and temperamental predictors: a field-dependent cognitive style with a moderate or high level of Endurance, and an efficient orienting network with high level of Briskness.
DOI: 10.17632/2jd6k2xjwb.1
title: Cognitive and temperamental determinants of orientation illusions

description: The database contains the results of a study that aimed to find the cognitive and temperamental predictors of susceptibility to orientation illusions on an example of Poggendorff and Zöllner figures. 161 participants aged 20–33. The database includes the results obtained by the respondents in the tasks: Visual Illusion Simulation, Embedded Figure Test, Attention Network Test, The Formal Characteristics of Behavior – Temperament Inventory.

With consideration of the current knowledge, we hypothesized that those who are more susceptible to orientation (Poggendorff and Zöllner) illusions are field-dependent people (H1). Susceptibility to these illusions is further dependent on weak efficiency of the alerting and orienting attentional networks (H2). We also propose two moderation models where temperament is a moderator of the relationship between susceptibility to orientation illusions and cognitive factors (H3): Model 1 – field-dependence/independence cognitive style; Model 2 – the efficiency of attentional networks.

The results showed that there is no one universal mechanism that explains susceptibility to the examined orientation illusions. We found that susceptibility to the Poggendorff illusion was related only to weak efficiency of the alerting network. Susceptibility to the Zöllner illusion was found to be related to both cognitive and temperamental predictors: a field-dependent cognitive style with a moderate or high level of Endurance, and an efficient orienting network with high level of Briskness.
DOI: 10.15468/dl.vr58gk
title: Occurrence Download

description: A dataset containing 5683 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ENGIE | Flora's Rescue Program - Serra do Assuruá Wind Complex, Bahia - Brazil"
 ]
}

 The dataset includes 5683 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081657-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13930005
title: Pancreatic Cancer Cell Lines Pa02C and Pa03C CRISPR Cas9 Genetic Screen with WEE1 Inhibitor AZD1775

description: CRISPR screen using Pancreatic cancer cell lines (Pa02C and Pa03C) in combination with WEE1 inhibitor (MK-1775).
DOI: 10.5281/zenodo.13930006
title: Pancreatic Cancer Cell Lines Pa02C and Pa03C CRISPR Cas9 Genetic Screen with WEE1 Inhibitor AZD1775

description: CRISPR screen using Pancreatic cancer cell lines (Pa02C and Pa03C) in combination with WEE1 inhibitor (MK-1775).
DOI: 10.17632/b43z3m82yx
title: Plastic Particle Dataset (Micro & Macroplastics) from Tioman Island

description: This dataset contains an Excel version of Table 1 from the manuscript titled “Dataset of Microscopic Images and Infrared Spectra of Beach Sediment Samples from Juara, Salang, and Tulai in Tioman Island, Malaysia.” It includes particle characteristics such as sampling location, type, color, sample code, and measured size. Both microplastics (&lt;5 mm) and macroplastics (&gt;5 mm) are represented.
DOI: 10.17632/b43z3m82yx.1
title: Plastic Particle Dataset (Micro & Macroplastics) from Tioman Island

description: This dataset contains an Excel version of Table 1 from the manuscript titled “Dataset of Microscopic Images and Infrared Spectra of Beach Sediment Samples from Juara, Salang, and Tulai in Tioman Island, Malaysia.” It includes particle characteristics such as sampling location, type, color, sample code, and measured size. Both microplastics (&lt;5 mm) and macroplastics (&gt;5 mm) are represented.
DOI: 10.15468/dl.aua9ax
title: Occurrence Download

description: A dataset containing 9298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Melocichla mentalis (Fraser, 1843)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 9298 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081658-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dqq9q
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pritchardia pacifica Seem. & H.Wendl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020230-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhut5b
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus obesus (Lowe, 1839)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020228-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7nywr
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stenotaphrum secundatum (Walter) Kuntze"
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020229-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14283046
title: Data and Software for "Probabilistic Trade-offs Analysis for Sustainable and Equitable Management of Climate-Induced Water Risks"

description: Research data supporting the study "Probabilistic trade-offs analysis for sustainable and equitable management of climate-induced water risks"

This repository provides data of the Stochastic Dual Dynamic Programming (SDDP) model, and the output results of the simulations of the various policies and climate scenarios considered in this study, as well as the code used for postprocessing and visualizing the results.

Contents



Data: Model InputsThis folder contains the physical river network, reservoir and water demand, and economic data derived from the observed database.The key files are:



Input_HydrologicalData

Input_SystemData


Results: Model Output AnalysisThis folder includes outputs from the Stochastic Dual Dynamic Programming (SDDP) model under various policies and climate scenarios. The results showcase optimized sectoral water use, including irrigated areas, hydropower generation, and allocations for agriculture, energy, and urban demands across spatial locations (upstream and downstream).Key files include:



SDDP Model Outputs (MATLAB format): 



EnergyPriority_Baseline.mat

EnergyPriority_2070.mat

EnergyPriority_2100.mat

AgriculturePriority_Baseline.mat

AgriculturePriority_2070.mat

AgriculturePriority_2100.mat


Extracted Model Results (Excel format): 



Organized for each policy and climate scenario to facilitate analysis.



Software: Data Analysis and VisualizationPython scripts designed for outputs data analysis and visualization are included to reproduce the primary figures from the study.Scripts provided:



CDF_outflow.py: Analyzes cumulative distribution functions for river discharge.

CDF_sectors.py: Examines sectoral water use distributions.

PCP_SI.py: Generates Parallel Coordinate Plots for trade-offs analysis.


Instructions: README FileA comprehensive README file explains:



Details of model input data.

Instructions to interpret the SDDP model outputs.



Instructions:The Python scripts process Excel files from the model output results folder to generate and visualize the figures for the paper. Each step is clearly documented within the scripts.
DOI: 10.15468/dl.wp855v
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9.15_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Luronium natans (L.) Raf."
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020231-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zk4bvn
title: Occurrence Download

description: A dataset containing 200703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.43424523279066 0.96009674723301, 11.3353601416565 0.96009674723301, 11.3353601416565 3.75832387940567, 8.43424523279066 3.75832387940567, 8.43424523279066 0.96009674723301))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 200703 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020163-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhbkrn
title: Occurrence Download

description: A dataset containing 2639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus sylvestris L.",
 "Year 1970-2024"
 ]
}

 The dataset includes 2639 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020232-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b96786
title: Occurrence Download

description: A dataset containing 39006764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -21.7058065731702, 180 -21.7058065731702, 180 -12.4769125301646, -180 -12.4769125301646, -180 -21.7058065731702))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 39006764 records from 4312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d4c20
title: CCDC 2208721: Experimental Crystal Structure Determination

description: Related Article: Maryam Bahrani-Pour, Azizolla Beheshti, Tahereh Sedaghat, Sepideh Samiee, Hassan Arefi-Nasab, Pengbo Lyu, Peter Mayer, Emmanuele Parisi|2025|Inorg.Chem.|64|7580|doi:10.1021/acs.inorgchem.5c00574
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.cc2d4c31
title: CCDC 2208722: Experimental Crystal Structure Determination

description: Related Article: Maryam Bahrani-Pour, Azizolla Beheshti, Tahereh Sedaghat, Sepideh Samiee, Hassan Arefi-Nasab, Pengbo Lyu, Peter Mayer, Emmanuele Parisi|2025|Inorg.Chem.|64|7580|doi:10.1021/acs.inorgchem.5c00574
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.cc2d4cvs
title: CCDC 2208745: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2d4cwt
title: CCDC 2208746: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2d4cxv
title: CCDC 2208747: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2d4cyw
title: CCDC 2208748: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2d4d0z
title: CCDC 2208750: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2d4d10
title: CCDC 2208751: Experimental Crystal Structure Determination

description: Related Article: Mingyuan Li, Zhengguo Cai, Moris S. Eisen|2023|Inorg.Chem.|63|1774|doi:10.1021/acs.inorgchem.3c03093
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.cc2ckkgz
title: CCDC 2191621: Experimental Crystal Structure Determination

description: Related Article: Yuliya A. Yudina, Pavel A. Demakov, Alexey A. Ryadun, Vladimir P. Fedin, Danil N. Dybtsev|2022|Crystals|12|1374|doi:10.3390/cryst12101374
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.