cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nxj354ycx2
title: Algorithmic Modeling and Machine Learning Analysis of Atomic Structure Properties Using High-Dimensional Feature Representations A Machine Learning Approach to Multimodal analysis

description: Accurate modeling of atomic structure properties is a fundamental challenge in computational physics, materials science, and data-driven engineering applications. Traditional analytical and simulation-based approaches often struggle to scale efficiently when faced with high-dimensional atomic descriptors and nonlinear inter-atomic relationships. This study presents a robust algorithmic and machine learning framework for predicting atomic structure properties using structured, high-dimensional feature representations.
Multiple supervised learning models are evaluated under a unified experimental framework to assess their ability to capture complex atomic behavior. The study emphasizes methodological rigor, statistical validation, and comparative performance analysis rather than isolated model performance. Results demonstrate that ensemble-based and nonlinear learning approaches significantly outperform linear baselines, highlighting their suitability for atom-level predictive modeling.
DOI: 10.17632/nxj354ycx2.1
title: Algorithmic Modeling and Machine Learning Analysis of Atomic Structure Properties Using High-Dimensional Feature Representations A Machine Learning Approach to Multimodal analysis

description: Accurate modeling of atomic structure properties is a fundamental challenge in computational physics, materials science, and data-driven engineering applications. Traditional analytical and simulation-based approaches often struggle to scale efficiently when faced with high-dimensional atomic descriptors and nonlinear inter-atomic relationships. This study presents a robust algorithmic and machine learning framework for predicting atomic structure properties using structured, high-dimensional feature representations.
Multiple supervised learning models are evaluated under a unified experimental framework to assess their ability to capture complex atomic behavior. The study emphasizes methodological rigor, statistical validation, and comparative performance analysis rather than isolated model performance. Results demonstrate that ensemble-based and nonlinear learning approaches significantly outperform linear baselines, highlighting their suitability for atom-level predictive modeling.
DOI: 10.17632/pg2z4tsv3z
title: Supplementary Data for [Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder]

description: This repository contains the longitudinal behavioral dataset and the custom Python computational pipeline used in the study, "Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder".
The primary objective of this project is to address the inherent phenotypic heterogeneity of the prenatal valproic acid (VPA) rat model of Autism Spectrum Disorder (ASD). The provided code objectively stratifies adult behavioral phenotypes without a priori clinical assumptions and prospectively predicts susceptibility versus resilience using early neurodevelopmental milestones.
DOI: 10.17632/pg2z4tsv3z.1
title: Supplementary Data for [Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder]

description: This repository contains the longitudinal behavioral dataset and the custom Python computational pipeline used in the study, "Machine Learning Reveals and Predicts Phenotypic Heterogeneity in the Prenatal Valproic Acid Rat Model of Autism Spectrum Disorder".
The primary objective of this project is to address the inherent phenotypic heterogeneity of the prenatal valproic acid (VPA) rat model of Autism Spectrum Disorder (ASD). The provided code objectively stratifies adult behavioral phenotypes without a priori clinical assumptions and prospectively predicts susceptibility versus resilience using early neurodevelopmental milestones.
DOI: 10.15468/dl.sxs6qv
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.57678 19.38165,-100.12162 18.75782,-99.60394 19.09228,-100.01692 19.73211,-100.57678 19.38165))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus"
 ]
}

 The dataset includes 500 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004371-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7x3sntd6ss
title: ANA Seroconversion Psoriasis Biologics Supplementary Data

description: Supplementary material for a systematic review submitted to JAAD Reviews. Contains: (1) Supplementary Methods detailing search strategy, eligibility criteria, and quality assessment procedures; (2) Supplementary Discussion with extended mechanistic interpretation of ANA seroconversion across biologic classes; (3) Supplementary Table S1 with characteristics of three included prospective cohort studies (280 patients); (4) Supplementary Figure S1 (PRISMA 2020 flow diagram); and (5) Supplementary References S6-S26.
DOI: 10.17632/7x3sntd6ss.1
title: ANA Seroconversion Psoriasis Biologics Supplementary Data

description: Supplementary material for a systematic review submitted to JAAD Reviews. Contains: (1) Supplementary Methods detailing search strategy, eligibility criteria, and quality assessment procedures; (2) Supplementary Discussion with extended mechanistic interpretation of ANA seroconversion across biologic classes; (3) Supplementary Table S1 with characteristics of three included prospective cohort studies (280 patients); (4) Supplementary Figure S1 (PRISMA 2020 flow diagram); and (5) Supplementary References S6-S26.
DOI: 10.15468/dl.4t8rd4
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anolis fuscoauratus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 835 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004370-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3ts62shmrb
title: IPS Supplement - TCA Croton oil chemical peel

description: Secondary data stripped of identifiers used as source for the article: safety warning for trichloroacetic acid-croton oil formulations as substitutes for phenol-croton oil deep chemical peels
DOI: 10.17632/3ts62shmrb.1
title: IPS Supplement - TCA Croton oil chemical peel

description: Secondary data stripped of identifiers used as source for the article: safety warning for trichloroacetic acid-croton oil formulations as substitutes for phenol-croton oil deep chemical peels
DOI: 10.5281/zenodo.17664022
title: Tumor Spatial Transcriptomics Atlas (TSTA)

description: The ZIP file contains tumor spatial transcriptomics data used for training the secreted protein signatures, and it will be made available once our paper is published.
DOI: 10.5281/zenodo.17664023
title: Tumor Spatial Transcriptomics Atlas (TSTA)

description: The ZIP file contains tumor spatial transcriptomics data used for training the secreted protein signatures, and it will be made available once our paper is published.
DOI: 10.17632/tvjmr5bc48
title: Wadang as Cultural Shield: Eave Tile Iconography and Lingnan Identity at the Nanyue Palace Site, Guangzhou

description: . Wadang_Supplementary_Dataset.xlsx
 Microsoft Excel workbook with four worksheets:
 - Sheet 1 "Typological Classification": Full specimen-level data for all
 17 wadang specimens analyzed in the associated article, including motif
 descriptions, iconographic codes, symbolic domains, political contexts,
 cultural identity claims, comparative site references, and catalogue
 cross-references.
 - Sheet 2 "Iconographic Coding Framework": Complete codebook for the
 22 analytical codes applied in this study, organized by category
 (Motif Type, Symbolic Domain, Identity Claim, Script Style,
 Surface Treatment), with definitions, Panofsky tier assignments,
 example specimen IDs, and key theoretical references.
 - Sheet 3 "Field Observation Protocol": Structured records of the 6
 field observation sessions conducted at the Nanyue Palace Museum
 (Guangzhou) in 2024-2025, including observation focus, methods,
 key observations, theoretical relevance, and follow-up actions.
 - Sheet 4 "Summary Statistics": Phase-level summary of specimen counts,
 dominant motif categories, primary identity claim codes, and
 Panofsky tier emphases; includes dataset metadata and source citations.

2. Wadang_Typological_Data.csv
 Plain-text CSV export of Sheet 1 (Typological Classification), encoded
 in UTF-8 with BOM to ensure correct display of Chinese characters.
 This is the machine-readable version preferred by Mendeley Data.
 Column headers use underscores and ASCII-only characters for
 interoperability with statistical software (R, Python/pandas, SPSS).
DOI: 10.5281/zenodo.18749111
title: labeobarbus_robertsi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18749112
title: labeobarbus_robertsi_decontaminated_FSCR.fasta.gz
DOI: 10.17632/tvjmr5bc48.1
title: Wadang as Cultural Shield: Eave Tile Iconography and Lingnan Identity at the Nanyue Palace Site, Guangzhou

description: . Wadang_Supplementary_Dataset.xlsx
 Microsoft Excel workbook with four worksheets:
 - Sheet 1 "Typological Classification": Full specimen-level data for all
 17 wadang specimens analyzed in the associated article, including motif
 descriptions, iconographic codes, symbolic domains, political contexts,
 cultural identity claims, comparative site references, and catalogue
 cross-references.
 - Sheet 2 "Iconographic Coding Framework": Complete codebook for the
 22 analytical codes applied in this study, organized by category
 (Motif Type, Symbolic Domain, Identity Claim, Script Style,
 Surface Treatment), with definitions, Panofsky tier assignments,
 example specimen IDs, and key theoretical references.
 - Sheet 3 "Field Observation Protocol": Structured records of the 6
 field observation sessions conducted at the Nanyue Palace Museum
 (Guangzhou) in 2024-2025, including observation focus, methods,
 key observations, theoretical relevance, and follow-up actions.
 - Sheet 4 "Summary Statistics": Phase-level summary of specimen counts,
 dominant motif categories, primary identity claim codes, and
 Panofsky tier emphases; includes dataset metadata and source citations.

2. Wadang_Typological_Data.csv
 Plain-text CSV export of Sheet 1 (Typological Classification), encoded
 in UTF-8 with BOM to ensure correct display of Chinese characters.
 This is the machine-readable version preferred by Mendeley Data.
 Column headers use underscores and ASCII-only characters for
 interoperability with statistical software (R, Python/pandas, SPSS).
DOI: 10.15468/dl.upphyj
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Anchoa ischana"
 ]
}

 The dataset includes 323 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004372-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v54h5d5pvt
title: Combined heart patient data

description: This dataset has the 1304 patients with 12 features and 1 label 
Features and label is provided below 
age 
sex 
chest_pain_type 
resting_bp_s 
cholesterol 
fasting_blood_sugar 
resting_ecg 
max_heart_rate 
exercise_angina 
oldpeak 
st_slope 
num_vessels_fluro 
target
DOI: 10.6084/m9.figshare.28430513
title: Intertidal Rockweed and Oysters in Great Bay, New Hampshire - Monitoring Dataset

description: <b>Investigators</b>Ray Grizzle, David Burdick, Krystin Ward, Gregg Moore, Lauren White, and Grant McKown<b>Organization</b>Jackson Estuarine Laboratory, School of Marine Sciences & Ocean Engineering, University of New Hampshire<b>Contact</b>Grant McKown, james.mckown@usnh.edu or jgrantmck@gmail.com<b>Project Description</b>Rockweed macroalgae (Ascophyllum and Fucus sp.) was mapped through automated classification in Google Earth Engine using 2015 Leaf-off Imagery and 2012 - 2016 NAIP imagery. Thresholds were assigned to pre-selected remote sensing indices (Brown Algae Index, Water Index, Red - Blue Ratio, and Elevation). Preliminary classification of rockweed distribution was then refined through boat field surveys to remove erroneously classified salt marshes and overhanging canopy, which is inherent to the classification process. Accuracy assessments were carried out (n = 230 points) across the estuary and an overall accuracy of 90.5% was observed. Field survey sites (n = 25) were extracted from rockweed distribution and surveyed for eastern oyster and mussel use underneath rockweed canopy. Salinity metrics for each region of Great Bay were calculated from SWMP water quality datasondes between 2015 - 2023.<br><b>Please Note </b> - After a minor error on oyster density calculations were discovered in Februar 2026, corrections were made to rectify the miscalculations throughout the dataset and statistical models. The corrected dataset has replaced the original dataset. The authors humbly apologize for the misoversight.
DOI: 10.6084/m9.figshare.28430513.v3
title: Intertidal Rockweed and Oysters in Great Bay, New Hampshire - Monitoring Dataset

description: <b>Investigators</b>Ray Grizzle, David Burdick, Krystin Ward, Gregg Moore, Lauren White, and Grant McKown<b>Organization</b>Jackson Estuarine Laboratory, School of Marine Sciences & Ocean Engineering, University of New Hampshire<b>Contact</b>Grant McKown, james.mckown@usnh.edu or jgrantmck@gmail.com<b>Project Description</b>Rockweed macroalgae (Ascophyllum and Fucus sp.) was mapped through automated classification in Google Earth Engine using 2015 Leaf-off Imagery and 2012 - 2016 NAIP imagery. Thresholds were assigned to pre-selected remote sensing indices (Brown Algae Index, Water Index, Red - Blue Ratio, and Elevation). Preliminary classification of rockweed distribution was then refined through boat field surveys to remove erroneously classified salt marshes and overhanging canopy, which is inherent to the classification process. Accuracy assessments were carried out (n = 230 points) across the estuary and an overall accuracy of 90.5% was observed. Field survey sites (n = 25) were extracted from rockweed distribution and surveyed for eastern oyster and mussel use underneath rockweed canopy. Salinity metrics for each region of Great Bay were calculated from SWMP water quality datasondes between 2015 - 2023.<br><b>Please Note </b> - After a minor error on oyster density calculations were discovered in Februar 2026, corrections were made to rectify the miscalculations throughout the dataset and statistical models. The corrected dataset has replaced the original dataset. The authors humbly apologize for the misoversight.
DOI: 10.6084/m9.figshare.31390186.v2
title: Extended Data for ''Comparison of the Efficacy and Safety between Chemotherapy and Targeted Therapy in Managing the Deadliest Cancer Types: A Systematic Review"

description: This systematic review aims to analyze the safety and efficacy of traditional chemotherapy in comparison to targeted therapy across the most fatal cancer types. The novelty of its findings lies in presenting a crucial avenue for the assessment of treatment effectiveness and safety of different treatment modalities in three cancer types, which have not been assessed together in one paper to this date yet, delineating the preferable treatment strategies for them and offering guidance for oncologists when undertaking therapeutic decisions. This could potentially impact healthcare policies and resource allocations. Besides, according to the review findings, this paper provided further recommendations based on the gaps identified to guide future research endeavors and advance personalized medicine. Such findings relate to the oncology field by shaping clinical guidelines comprehensively on the treatment of lung cancer, colorectal cancer, and hepatocellular carcinoma, optimizing treatment algorithms, and making contributions to ongoing efforts in precision oncology by reinforcing the role of targeted therapy in enhancing patient outcomes, especially when chemotherapy has limited efficacy or significant toxicity in certain settings.The repository data includes a figure of the PRISMA flowchart, a supplementary data file composed of the PRISMA checklist alongside other detailed data used for the review, and the raw data utilized to synthesize findings as a PDF file of the included studies and an Excel sheet demonstrating the structured format of data.
DOI: 10.17632/v54h5d5pvt.1
title: Combined heart patient data

description: This dataset has the 1304 patients with 12 features and 1 label 
Features and label is provided below 
age 
sex 
chest_pain_type 
resting_bp_s 
cholesterol 
fasting_blood_sugar 
resting_ecg 
max_heart_rate 
exercise_angina 
oldpeak 
st_slope 
num_vessels_fluro 
target
DOI: 10.6084/m9.figshare.28430513.v2
title: Intertidal Rockweed and Oysters in Great Bay, New Hampshire - Monitoring Dataset

description: <b>Investigators</b>Ray Grizzle, David Burdick, Krystin Ward, Gregg Moore, Lauren White, and Grant McKown<b>Organization</b>Jackson Estuarine Laboratory, School of Marine Sciences & Ocean Engineering, University of New Hampshire<b>Contact</b>Grant McKown, james.mckown@usnh.edu or jgrantmck@gmail.com<b>Project Description</b>Rockweed macroalgae (Ascophyllum and Fucus sp.) was mapped through automated classification in Google Earth Engine using 2015 Leaf-off Imagery and 2012 - 2016 NAIP imagery. Thresholds were assigned to pre-selected remote sensing indices (Brown Algae Index, Water Index, Red - Blue Ratio, and Elevation). Preliminary classification of rockweed distribution was then refined through boat field surveys to remove erroneously classified salt marshes and overhanging canopy, which is inherent to the classification process. Accuracy assessments were carried out (n = 230 points) across the estuary and an overall accuracy of 90.5% was observed. Field survey sites (n = 25) were extracted from rockweed distribution and surveyed for eastern oyster and mussel use underneath rockweed canopy. Salinity metrics for each region of Great Bay were calculated from SWMP water quality datasondes between 2015 - 2023.<br><b>Please Note </b> - After a minor error on oyster density calculations were discovered in Februar 2026, corrections were made to rectify the miscalculations throughout the dataset and statistical models. The corrected dataset has replaced the original dataset. The authors humbly apologize for the misoversight.
DOI: 10.5281/zenodo.18749137
title: iHeart Radio Stations & Airplay Dataset

description: Thousands of US and Mexico radio station profiles with audience metrics, streaming URLs, and real-time airplay tracking.

Full Dataset

This is a sample of the iHeart Radio Stations & Airplay Dataset published by 
Rebrowser. 
The full dataset is updated daily.

Browse, filter, and export the complete dataset at 
https://rebrowser.net/products/datasets/iheart.

Entities in this dataset



Radio Stations — iHeart radio stations with call letters, frequencies, formats, market data, audience metrics, and streaming endpoints.

Station Plays — Real-time track play log for iHeart stations — every song played with artist, title, timestamp, and station.


Links



Full iHeart Radio Stations & Airplay Dataset dataset on Rebrowser

All Rebrowser datasets

Free datasets for academic research

Pricing & plans

Contact us


Last updated: 2026-02-23 · 603,667 rows in this sample
description: Published by Rebrowser (https://rebrowser.net). This is a free sample — the full dataset is available at https://rebrowser.net/products/datasets/iheart. Free for research and non-commercial use with attribution. For commercial use, see https://rebrowser.net/pricing.
DOI: 10.5281/zenodo.18749106
title: BOSHLANGʻICH SINF OʻQUVCHILARINING MAKTAB MUHITIGA IJTIMOIY- PSIXOLOGIK MOSLASHUVIGA TA'SIR ETUVCHI OMILLAR

description: Mazkur ilmiy maqolada boshlangʻich sinf oʻquvchilarining maktab muhitiga ijtimoiy-psixologik moslashuviga ta'sir etuvchi omillar ilmiy manbalar asosida tahlil qilinadi. Tadqiqotda yosh xususiyatlari, oilaviy muhit, o‘qituvchi shaxsining roli, sinf jamoasi, ta'lim jarayonining tashkil etilishi, maktab iqlimi va psixologik qo‘llab-quvvatlash omillari o‘rganildi. Ilmiy adabiyotlar va empirik tadqiqotlar tahliliga ko‘ra, maktabga ilk moslashuv davri 6–7 yosh oralig‘ida psixologik rivojlanishning muhim bosqichi hisoblanadi hamda ushbu davrda emotsional barqarorlik, ijtimoiy ko‘nikmalar va motivatsiya darajasi asosiy indikator sifatida namoyon bo‘ladi. Tadqiqot natijalari shuni ko‘rsatadiki, moslashuv jarayoniga ijobiy ta'sir etuvchi asosiy omillar – qo‘llab-quvvatlovchi oilaviy muhit, demokratik pedagogik uslub va ijobiy sinf iqlimidir .
DOI: 10.5281/zenodo.18749107
title: BOSHLANGʻICH SINF OʻQUVCHILARINING MAKTAB MUHITIGA IJTIMOIY- PSIXOLOGIK MOSLASHUVIGA TA'SIR ETUVCHI OMILLAR

description: Mazkur ilmiy maqolada boshlangʻich sinf oʻquvchilarining maktab muhitiga ijtimoiy-psixologik moslashuviga ta'sir etuvchi omillar ilmiy manbalar asosida tahlil qilinadi. Tadqiqotda yosh xususiyatlari, oilaviy muhit, o‘qituvchi shaxsining roli, sinf jamoasi, ta'lim jarayonining tashkil etilishi, maktab iqlimi va psixologik qo‘llab-quvvatlash omillari o‘rganildi. Ilmiy adabiyotlar va empirik tadqiqotlar tahliliga ko‘ra, maktabga ilk moslashuv davri 6–7 yosh oralig‘ida psixologik rivojlanishning muhim bosqichi hisoblanadi hamda ushbu davrda emotsional barqarorlik, ijtimoiy ko‘nikmalar va motivatsiya darajasi asosiy indikator sifatida namoyon bo‘ladi. Tadqiqot natijalari shuni ko‘rsatadiki, moslashuv jarayoniga ijobiy ta'sir etuvchi asosiy omillar – qo‘llab-quvvatlovchi oilaviy muhit, demokratik pedagogik uslub va ijobiy sinf iqlimidir .
DOI: 10.15468/dl.uveex5
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-35.75973 -9.58214,-35.75382 -9.57861,-35.75055 -9.57655,-35.74275 -9.56991,-35.74911 -9.55768,-35.75065 -9.55491,-35.75437 -9.55446,-35.77193 -9.56436,-35.75973 -9.58214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 17 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004360-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h5z26
title: Occurrence Download

description: A dataset containing 702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anolis heterodermus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 702 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004374-260221153910048/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.31395180
title: Dados de replicação para: "Transição e continuidade do cuidado na alta hospitalar no Brasil: revisão de escopo"

description: Trata-se de material suplementar ao manuscrito "Transição e continuidade do cuidado na alta hospitar no Brasil: revisão de escopo", cujo objetivo foi mapear a produção nacional sobre transição e continuidade do cuidado na alta hospitalar na perspectiva de pacientes e cuidadores.