cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14745010
title: Supplementary Data "Benchmarking Quantum Reinforcement Learning" (ANONYMIZED)

description: Pe-computed data for re-producing the results of "Benchmarking Quantum Reinforcement Learning".

Note: This is a anonymized version for double-blind peer review.
DOI: 10.17632/syc7jfm8mc.1
title: Python Code for Type I, II, and III Errors with Excel Data Build The Data & simmulation By: Prof:Eldirdiri Fadol Ibrahim Fadol

description: Types of Statistical Errors
Type I Error (False Positive):

Rejecting the null hypothesis when it is true.
Example: Concluding a drug is effective when it is not.
Mitigation: Use stricter significance levels (e.g., α = 0.01).
Type II Error (False Negative):

Failing to reject the null hypothesis when it is false.
Example: Missing the effect of a drug that actually works.
Mitigation: Increase sample size or statistical power.
Type III Error (Misinterpretation):

Correctly rejecting the null hypothesis but misinterpreting the direction of the effect.
Example: Detecting a difference between groups but misidentifying which group is superior.
Mitigation: Ensure proper group labeling and robust experimental design.
Data Simulation
Synthetic data was generated for two groups:

Experimental Group: Mean = 10, SD = 3.
Control Group: Mean = 12, SD = 3.
The data was stored in experiment_data.xlsx for further analysis.

Key Simulations and Results
1. Type I Error Simulation
Scenario: Groups with identical means (10).
Result: The null hypothesis was correctly retained (p-value = 0.521). No Type I Error occurred.
2. Type II Error Simulation
Scenario: Smaller sample size (10 observations per group) despite a true difference (means: 10 vs. 12).
Result: The null hypothesis was not rejected (p-value = 0.563). A Type II Error occurred due to insufficient sample size.
3. Type III Error Simulation
Scenario: Group means were swapped (12 vs. 10) to test misinterpretation.
Result: No statistically significant difference was detected (p-value = 0.056), avoiding a Type III Error in this case.
Insights and Recommendations
Type I Errors:

Likely with repeated tests without adjustments.
Use corrections like Bonferroni or lower α thresholds.
Type II Errors:

Caused by small sample sizes or weak effect sizes.
Conduct power analysis to determine adequate sample size.
Type III Errors:

Can occur from poor study design or mislabeling.
Double-check group assignments and carefully interpret results.
Applications
Type I Errors: Avoid false claims in drug efficacy studies.
Type II Errors: Ensure meaningful interventions are not overlooked in public health.
Type III Errors: Prevent misleading conclusions in policy-making or clinical research.
Conclusion
The simulations demonstrate how statistical errors can arise and provide insights into preventing them. By using Python for hypothesis testing, researchers can better design studies, minimize errors, and ensure reliable conclusions, improving the validity and impact of their findings.
DOI: 10.17632/jwm9sr25vn.1
title: Using artificial intelligence to analyze the relationship between platelets and cancer

description: Summary: Analysis of Platelet Counts and Cancer Prognosis
Model Performance
Accuracy: 85% on test data.
Precision: 87% for detecting advanced cancer stages.

Recall: 81% for advanced cancer stages.
Confusion Matrix:
Correctly classified: 159 out of 180 samples.
False Negatives: 12 advanced cases misclassified as early (critical for high-risk patients).
Visualization Insights
Platelet Counts by Cancer Stage:
Stage 1/2: Counts near the normal range (150-400 × 10³/µL).
Stage 3/4: Elevated counts, indicating thrombocytosis in advanced stages.
Confusion Matrix Heatmap:
71 true negatives (early stages correctly identified).
88 true positives (advanced stages correctly identified).
9 false positives, 12 false negatives.
Predicted vs. Actual Advanced Stage Rates:
Predicted advanced stage rate: 45%.
Actual advanced stage rate: 43%.
Prognosis Analysis
Platelet Counts: Strongly associated with advanced stages, particularly when &gt;300 × 10³/µL.
Cancer Types: Leukemia showed higher platelet variations than colon cancer.
Model Utility: Provides robust early detection for advanced stages to aid timely interventions.
Recommendations
Clinical Use:
Platelet count as a supportive biomarker for high-risk cases.
Use the model for further diagnostic referrals.
Future Enhancements:
Incorporate additional biomarkers (e.g., CRP, D-dimer).
Validate predictions with real-world data.
Personalized Medicine:
Investigate interactions of demographic variables (age, gender) with platelet counts.
Conclusion
Platelet counts reliably indicate advanced cancer stages.
Machine learning models can effectively predict prognosis and support personalized diagnostics.
Further refinement and validation could enhance accuracy and clinical adoption.
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage Predicted_Advanced_Stage
0 314.835708 45 0 2 4 1 0
1 253.086785 53 0 3 1 0 0
2 322.384427 78 1 1 4 1 0
3 346.151493 75 0 2 2 0 0
4 268.292331 78 1 0 3 1 0
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage Predicted_Advanced_Stage
count 500.000000 500.000000 500.000000 500.000000 500.000000 500.000000 500.000000
mean 270.361900 49.078000 0.462000 1.490000 2.002000 0.294000 0.006000
std 50.466800 17.412936 0.499053 1.120898 0.981796 0.456048 0.077304
min 107.936633 20.000000 0.000000 0.000000 1.000000 0.000000 0.000000
25% 235.889024 33.000000 0.000000 0.000000 1.000000 0.000000 0.000000
50% 271.577131 49.000000 0.000000 2.000000 2.000000 0.000000 0.000000
75% 305.130181 65.000000 1.000000 2.000000 3.000000 1.000000 0.000000
max 482.636575 79.000000 1.000000 3.000000 4.000000 1.000000 1.000000
Dataset saved as 'synthetic_platelet_cancer_data.csv'.
First few rows of the dataset:
 Platelet_Count Age Gender Cancer_Type Cancer_Stage Advanced_Stage


Conclusion
Platelet counts reliably indicate advanced cancer stages.Machine learning models can effectively pred.
DOI: 10.17632/52xszfstsd.1
title: Annual and State-Level Data on U.S. Total Fertility Rates, 1931–Present

description: This dataset reconstructs U.S. fertility trends with state-level Total Fertility Rates (TFR) from 1931 to the present, calculated annually. Birth data by maternal age and race (white and non-white) were digitized from the “Vital Statistics of the United States.” TFR calculations use interpolated census data on women aged 14–49. The dataset highlights regional shifts in fertility during the Baby Boom, later declines, and recent fluctuations, influenced by socio-economic and cultural factors. It provides a valuable tool for researchers and policymakers analyzing fertility determinants and their broader implications.
DOI: 10.15468/dl.a8njaj
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semicossyphus reticulatus (Valenciennes, 1839)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004484-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4zwwbms3hb.1
title: Clinical characteristics driving hospitalization among cutaneous T-cell lymphoma patients: A six-year retrospective cohort study

description: Supplementary materials for study investigating hospitalization patterns and clinical characteristics of patients with cutaneous T-cell lymphoma.
DOI: 10.15468/dl.6ncxmq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cossyphus reticulatus Valenciennes, 1839",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004485-250123221155621/datasets/export for details.
DOI: 10.17632/p923rhgpnr.1
title: Data for: Effects of extracellular polymeric substances on microalgae-induced magnesium carbonate precipitation

description: All data associated with this article includes FTIR spectra of EPS and EPS-free cells, organic surface characteristics, experimental data on calcium carbonate precipitation and data from supplementary material.
DOI: 10.17632/xx9zzz6t54.1
title: Advancing Alzheimer’s Disease Detection in Clinical Settings: MRI Image Data

description: Dataset Overview
Dataset Name: Alzheimer’s Disease Detection Dataset

Purpose: To facilitate the development of AI and deep learning models for detecting Alzheimer’s Disease using MRI images.

Data Type: MRI brain scans in JPG format.

Labels: Four classes of Alzheimer’s Disease progression:

NonDemented: No signs of dementia.

VeryMildDemented: Very mild cognitive impairment.

MildDemented: Mild cognitive impairment.

ModerateDemented: Moderate cognitive impairment.

Dataset Size:

Train Set: 5,121 images

NonDemented: 2,560

VeryMildDemented: 1,792

MildDemented: 717

ModerateDemented: 52

Test Set: 1,279 images

NonDemented: 640

VeryMildDemented: 448

MildDemented: 179

ModerateDemented: 12

License: CC BY 4.0

Folder Structure
The dataset is organized into the following folder structure:

Alzheimer_Dataset/
│
├── images/
│ ├── train/
│ │ ├── NonDemented/
│ │ │ ├── image1.jpg
│ │ │ ├── image2.jpg
│ │ │ └── ...
│ │ ├── VeryMildDemented/
│ │ │ ├── image1.jpg
│ │ │ ├── image2.jpg
│ │ │ └── ...
│ │ ├── MildDemented/
│ │ │ ├── image1.jpg
│ │ │ ├── image2.jpg
│ │ │ └── ...
│ │ └── ModerateDemented/
│ │ ├── image1.jpg
│ │ ├── image2.jpg
│ │ └── ...
│ └── test/
│ ├── NonDemented/
│ │ ├── image1.jpg
│ │ ├── image2.jpg
│ │ └── ...
│ ├── VeryMildDemented/
│ │ ├── image1.jpg
│ │ ├── image2.jpg
│ │ └── ...
│ ├── MildDemented/
│ │ ├── image1.jpg
│ │ ├── image2.jpg
│ │ └── ...
│ └── ModerateDemented/
│ ├── image1.jpg
│ ├── image2.jpg
│ └── ...
│
└── labels/
 ├── train_labels.csv
 └── test_labels.csv


Dataset Details
3.1 MRI Images
Description: Brain MRI scans (e.g., T1-weighted, T2-weighted) from participants.

Format: JPG

Resolution: 256x256 pixels

Source: ADNI dataset, and local hospital

Preprocessing:

Converted from DICOM to JPG.

Normalized for brightness and contrast.

Resized to a consistent resolution.

Train Labels (train_labels.csv)
The train_labels.csv file contains metadata for the training set of MRI images. Each row corresponds to an image and includes the following fields:

Image_Path: The relative path to the image file (e.g., train/NonDemented/image1.jpg).

Label: The classification label for the image, which can be NonDemented, VeryMildDemented, MildDemented, or ModerateDemented.

Participant_ID: A unique identifier for the participant (e.g., 001).

Age: The age of the participant at the time of diagnosis (e.g., 72).

Gender: The gender of the participant (e.g., Male or Female).

Diagnosis_Date: The date of diagnosis in YYYY-MM-DD format (e.g., 2022-01-15).

Notes: Additional notes or comments (e.g., N/A if no notes are available).
DOI: 10.17632/32xwssfzbd.1
title: TET1 as a master ferroptosis regulator in cancer
DOI: 10.15468/dl.e77wy3
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleginus gracilis (Tilesius, 1810)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004487-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14745001
title: Solar power
DOI: 10.5281/zenodo.14745002
title: Solar power
DOI: 10.15468/dl.57z77n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gadus gracilis Tilesius, 1810",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004489-250123221155621/datasets/export for details.
DOI: 10.15468/dl.rwfj77
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber australasicus Cuvier, 1832",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 252 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004491-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82x2e6
title: Occurrence Download

description: A dataset containing 55891045 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 55891045 records from 9234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004481-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10547494
title: Public metagenome datasets annotated using SingleM

description: These data underlie the community profiles shown at https://sandpiper.qut.edu.au

 

Changelog

= 0.2.0 =

Initial version. Created using a GTDB R214-based reference SingleM metapackage S3.2.1.GTDB_r214.metapackage_20231006 based on public datasets available Dec 15, 2021.
DOI: 10.5281/zenodo.11516218
title: Public metagenome datasets annotated using SingleM

description: These data underlie the community profiles shown at https://sandpiper.qut.edu.au

 

Changelog

= 0.3.0 =

Update profiles to use GTDB R220, generated using SingleM renew v0.17.0.

= 0.2.0 =

Initial version. Created using a GTDB R214-based reference SingleM metapackage S3.2.1.GTDB_r214.metapackage_20231006 based on public datasets available Dec 15, 2021.
DOI: 10.15468/dl.rzq229
title: Occurrence Download

description: A dataset containing 127409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muntiacus Rafinesque, 1815"
 ]
}

 The dataset includes 127409 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004029-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lo5qjo
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callicebus ornatus (Gray, 1866)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3na2d
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Herpestes Illiger, 1811"
 ]
}

 The dataset includes 923 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016338-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9qz3m
title: Occurrence Download

description: A dataset containing 1638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anemonastrum dichotomum (L.) Mosyakin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1638 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071699-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjhwav
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidaploa rufogrisea (A.St.-Hil.) H.Rob.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 281 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psstdw
title: Occurrence Download

description: A dataset containing 5285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 5285 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015584-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k8hsh
title: Occurrence Download

description: A dataset containing 1012 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulophia speciosa (R.Br.) Bolus"
 ]
}

 The dataset includes 1012 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041971-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqag3d
title: Occurrence Download

description: A dataset containing 10479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 10479 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000855-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6r6bs
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.54886 41.29932,9.60255 41.29932,9.60255 43.05214,8.54886 43.05214,8.54886 41.29932))",
 "HasCoordinate is true",
 "TaxonKey is Mustela nivalis Linnaeus, 1766",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 181 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004638-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z4bpb
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biotop \"Kohlbeke\" (Berlin-Marzahn)"
 ]
}

 The dataset includes 87 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkpg5p
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anemone ×lipsiensis Beck",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 146 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071716-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twqjwr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphoglossum stergiosii Mickel"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155311-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6qa7d
title: Occurrence Download

description: A dataset containing 9470343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 9470343 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004015-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jywx7a
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deprea grandiflora (N.W.Sawyer & S.Leiva) Deanna & Barboza"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155310-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh8jpt
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fonoteca Zoológica, Museo Nacional de Ciencias Naturales, Madrid: MAMMALIA_FZ"
 ]
}

 The dataset includes 197 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqh95u
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kingiodendron pinnatum (Roxb. ex DC.) Harms"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233018-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ympde4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material citation",
 "TaxonKey is Cruoriella dubyi (P.L.Crouan & H.M.Crouan) F.Schmitz"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071715-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxpwsi
title: Occurrence Download

description: A dataset containing 9752 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhamnus saxatilis Jacq."
 ]
}

 The dataset includes 9752 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7avwv
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corryocactus erectus (Backeb.) F.Ritter"
 ]
}

 The dataset includes 143 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155309-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.