cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18099627
title: URBANIZATION EFFECT ON SOCIO-SPATIAL LANDSCAPE OF LODWAR MUNICIPALITY, TURKANA, KENYA.
DOI: 10.25345/c54f1mx9h
title: MassIVE MSV000100359 - Characterizing PFAS Exposures from Residential Floor Dust Using Complementary LC-HRMS and GC-HRMS Nontargeted Analysis Approaches (GC Data)
title: This is the GC dataset which goes with the manuscript with the following abstract: Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are a class of persistent environmental pollutants that have been associated with various adverse health outcomes. Given the structural diversity of PFAS, nontargeted analysis (NTA) techniques are needed for comprehensive PFAS detection. Most PFAS NTA workflows utilize liquid chromatography high-resolution mass spectrometry (LC-HRMS). However, the integration of a complementary mass spectrometry method, such as gas chromatography high-resolution mass spectrometry (GC-HRMS), has the potential to expand chemical coverage. In this study PFAS NTA was applied to complementary LC-HRMS and GC-HRMS residential floor dust data. Floor dust, and important indicator and direct source of prenatal and early-life PFAS exposure, was collected from 194 homes in the HOME Study. LC-HRMS data was processed using FluoroMatch 4.45, and PFAS fragment screening was implemented for GC-HRMS data. 52 unique PFAS were detected through the LC-HRMS analysis (range of 3 to 34 per home), and 202 unique PFAS were detected through the GC-HRMS analysis (range of 0 to 62 per home). While most PFAS were found in less than 25 percent of homes, eight PFAS (two GC-amenable and six LC amenable) were detected in over 50 percent. In the linear regression analysis, increased carpeting was associated with a 20 percent reduction in perfluorodecanesulfonic acid abundance, and a lead intervention was associated with a 50 percent decrease in the abundance of an unidentified GC-HRMS PFAS. Through applying complementary NTA methods, we were able to detect over 200 unique PFAS and highlight that indoor exposure to PFAS from floor dust is highly complex, emphasizing the need for methods that can comprehensively capture PFAS exposures.
DOI: 10.6084/m9.figshare.30974182.v1
title: Dobbs and Hilley Manuscript Submission

description: Dataset and supplemental information for Dobbs and Hilley submission
DOI: 10.5281/zenodo.18056916
title: LIBPhys-EGG: An Open-Access Multichannel Electrogastrography and Accelerometry Dataset for Reproducible Research in Gastrointestinal Electrophysiology

description: Surface electrogastrography (sEGG) records gastrointestinal (GI) myoelectric activity non-invasively from the abdominal surface, offering a potential glimpse into gastric and intestinal function. Despite nearly a century of investigation, clinical adoption remains limited by low Signal-to-Noise Ratio, motion artifacts, and the lack of standardized, large-scale public datasets particularly those capturing intestinal activity and variations in electrode placement. This work presents a multichannel sEGG dataset acquired using a wearable sensor belt, synchronized with tri-axial accelerometry, designed to support reproducible research in GI signal processing and machine learning.

 

OVERVIEWThis dataset contains multisite surface electrogastrography (sEGG) recordings from 15 healthy adult participants during controlled meal challenge experiments.The LIBPhys-EGG dataset captures gastric and intestinal myoelectrical activity during fasting (pre-prandial), meal ingestion, and prolonged post-prandial states.

The recordings include:  - 4-channel sEGG signals from anatomically defined abdominal sites  - 3-axis accelerometer data for motion artifact identification  - Detailed annotations including meal timing, digestive states, and artifacts

KEY STATISTICS  - Total recording volume: 111.8 hours  - Number of recording sessions: 30  - Number of participants: 15  - Median session duration: 4.00 hours  - Mean primary session duration: 5.16 ± 1.22 hours  - Minimum recorded window: 30 min pre-prandial + 1 hour post-prandial

PARTICIPANT INFORMATION  - Number of participants: 15 (6 male, 9 female)  - Age: 30.6 ± 10.9 years     - Male: 34.8 ± 12.7 years    - Female: 27.8 ± 9.2 years  - BMI: 22.2 ± 3.9    - Male: 23.7 ± 4.9    - Female: 21.0 ± 2.9  - All participants were healthy adults free from:    - Known GI disorders (IBD, IBS, gastroparesis)    - History of major abdominal surgery    - Medications affecting GI motility

RECORDING PARAMETERS  - Sampling rate: 1000 Hz  - ADC resolution: 16-bit  - Recording device: 8-channel biosignalsplux hub  - sEGG sensor specifications:    - Bandwidth: 0.0023–0.75 Hz    - Gain: 6114    - Input impedance: >100 GΩ    - CMRR: 100 dB  - Accelerometer specifications:    - Technology: MEMS    - Range: ±3.60 g    - Bandwidth: 0–50 Hz    - Axes: 3 (x, y, z)  - Electrodes: Pre-gelled, disposable Ag/AgCl (Cardinal Health, 24mm diameter)
DOI: 10.5281/zenodo.18056915
title: LIBPhys-EGG: An Open-Access Multichannel Electrogastrography and Accelerometry Dataset for Reproducible Research in Gastrointestinal Electrophysiology

description: Surface electrogastrography (sEGG) records gastrointestinal (GI) myoelectric activity non-invasively from the abdominal surface, offering a potential glimpse into gastric and intestinal function. Despite nearly a century of investigation, clinical adoption remains limited by low Signal-to-Noise Ratio, motion artifacts, and the lack of standardized, large-scale public datasets particularly those capturing intestinal activity and variations in electrode placement. This work presents a multichannel sEGG dataset acquired using a wearable sensor belt, synchronized with tri-axial accelerometry, designed to support reproducible research in GI signal processing and machine learning.

 

OVERVIEWThis dataset contains multisite surface electrogastrography (sEGG) recordings from 15 healthy adult participants during controlled meal challenge experiments.The LIBPhys-EGG dataset captures gastric and intestinal myoelectrical activity during fasting (pre-prandial), meal ingestion, and prolonged post-prandial states.

The recordings include:  - 4-channel sEGG signals from anatomically defined abdominal sites  - 3-axis accelerometer data for motion artifact identification  - Detailed annotations including meal timing, digestive states, and artifacts

KEY STATISTICS  - Total recording volume: 111.8 hours  - Number of recording sessions: 30  - Number of participants: 15  - Median session duration: 4.00 hours  - Mean primary session duration: 5.16 ± 1.22 hours  - Minimum recorded window: 30 min pre-prandial + 1 hour post-prandial

PARTICIPANT INFORMATION  - Number of participants: 15 (6 male, 9 female)  - Age: 30.6 ± 10.9 years     - Male: 34.8 ± 12.7 years    - Female: 27.8 ± 9.2 years  - BMI: 22.2 ± 3.9    - Male: 23.7 ± 4.9    - Female: 21.0 ± 2.9  - All participants were healthy adults free from:    - Known GI disorders (IBD, IBS, gastroparesis)    - History of major abdominal surgery    - Medications affecting GI motility

RECORDING PARAMETERS  - Sampling rate: 1000 Hz  - ADC resolution: 16-bit  - Recording device: 8-channel biosignalsplux hub  - sEGG sensor specifications:    - Bandwidth: 0.0023–0.75 Hz    - Gain: 6114    - Input impedance: >100 GΩ    - CMRR: 100 dB  - Accelerometer specifications:    - Technology: MEMS    - Range: ±3.60 g    - Bandwidth: 0–50 Hz    - Axes: 3 (x, y, z)  - Electrodes: Pre-gelled, disposable Ag/AgCl (Cardinal Health, 24mm diameter)
DOI: 10.15468/dl.69hb3v
title: Occurrence Download

description: A dataset containing 165757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((6.3049 51.63584,7.35332 51.63584,7.35332 53.01788,6.3049 53.01788,6.3049 51.63584))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 165757 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069406-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c50p0x45s
title: MassIVE MSV000100360 - Modulating Oxidative Stress Tolerance to Enhance Transformability of Genetically Recalcitrant Candida Species
title: Modulating Oxidative Stress Tolerance to Enhance Transformability of Genetically Recalcitrant Candida Species
DOI: 10.15468/dl.39anfn
title: Occurrence Download

description: A dataset containing 2787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL.18_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae",
 "Year 2018-2023"
 ]
}

 The dataset includes 2787 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069409-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqtdgk
title: Occurrence Download

description: A dataset containing 13910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.71069 50.86788,0.66606 50.86788,0.66606 51.78193,-0.71069 51.78193,-0.71069 50.86788))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae",
 "Year 2018-2023"
 ]
}

 The dataset includes 13910 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebkdjb
title: Occurrence Download

description: A dataset containing 1532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is JPN.41_1",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae",
 "Year 2018-2023"
 ]
}

 The dataset includes 1532 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069411-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3ekxe
title: Occurrence Download

description: A dataset containing 1529439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2008-2025"
 ]
}

 The dataset includes 1529439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069408-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t25h6
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-90.54158 38.45559,-89.96439 38.45559,-89.96439 38.93707,-90.54158 38.93707,-90.54158 38.45559))",
 "HasGeospatialIssue is false",
 "Month is November",
 "Year 2025-2025"
 ]
}

 The dataset includes 900 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069412-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14347532
title: Booru.org Top Leaderboard
DOI: 10.15468/dl.5rrevh
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenocereus martinezii"
 ]
}

 The dataset includes 478 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df9ejk
title: Occurrence Download

description: A dataset containing 6560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.4863 51.33262,0.51524 51.33262,0.51524 51.70423,-0.4863 51.70423,-0.4863 51.33262))",
 "OccurrenceStatus is Present",
 "TaxonKey is Fabaceae",
 "Year 2018-2023"
 ]
}

 The dataset includes 6560 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069415-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18090980
title: Reproducible UTMF v5.2 Outputs for MFDFA Stability: 10 Runs + CSV Summaries + Reproduction Script

description: This record contains the complete, reproducible output archive used in the paper:

Subset Design and Stability Regimes in Multifractal Detrended Fluctuation Analysis

The archive consists of 10 identical UTMF v5.2 runs on the same heterogeneous dataset set(NIST atomic spectra, NANOGrav pulsars, LIGO strain segments, and a QRNG stream).Each run is stored as a compressed FULL_DETAILS JSON file (UTMF computational archive),accompanied by an automatically generated CSV summary and a single script that regeneratesall figures reported in the paper.

Contents:• 10 × FULL_DETAILS JSON files (compressed; ~430 MB uncompressed each)• 10 × CSV summaries generated by UTMF• 1 × reproduction script (Python) to regenerate all figures from the archived metadata• 1 x README.txt

Reproducibility:All figures and statistics can be reproduced without rerunning UTMF.The FULL_DETAILS archives include subset design parameters (subset length, number of subsets,overlap settings), subset-level D_f estimates, configuration snapshots, quality metrics, and anembedded snapshot of the jedi_mfdfa implementation used in the run.

Related foundational references:• jedi_mfdfa software: 10.5281/zenodo.17982899• jedi_mfdfa paper:   A Minimal and Robust Implementation of Multifractal Detrended Fluctuation Analysis• UTMF-Core software: 10.5281/zenodo.17808853• UTMF-Core paper:    UTMF-Core: A Universal Multifractal Measurement Framework for Heterogeneous Physical Time Series• UTMF v5.1 coherence paper: Multifractal Coherence Across Physical Measurement Domains: A Fully Reproducible Cross-Domain Test Using UTMF v5.1

Author:Strive, Jedi Markus (ORCID: 0009-0000-7663-7946), Independent Researchercrisplatform@gmail.com
DOI: 10.5281/zenodo.18090981
title: Reproducible UTMF v5.2 Outputs for MFDFA Stability: 10 Runs + CSV Summaries + Reproduction Script

description: This record contains the complete, reproducible output archive used in the paper:

Subset Design and Stability Regimes in Multifractal Detrended Fluctuation Analysis

The archive consists of 10 identical UTMF v5.2 runs on the same heterogeneous dataset set(NIST atomic spectra, NANOGrav pulsars, LIGO strain segments, and a QRNG stream).Each run is stored as a compressed FULL_DETAILS JSON file (UTMF computational archive),accompanied by an automatically generated CSV summary and a single script that regeneratesall figures reported in the paper.

Contents:• 10 × FULL_DETAILS JSON files (compressed; ~430 MB uncompressed each)• 10 × CSV summaries generated by UTMF• 1 × reproduction script (Python) to regenerate all figures from the archived metadata• 1 x README.txt

Reproducibility:All figures and statistics can be reproduced without rerunning UTMF.The FULL_DETAILS archives include subset design parameters (subset length, number of subsets,overlap settings), subset-level D_f estimates, configuration snapshots, quality metrics, and anembedded snapshot of the jedi_mfdfa implementation used in the run.

Related foundational references:• jedi_mfdfa software: 10.5281/zenodo.17982899• jedi_mfdfa paper:   A Minimal and Robust Implementation of Multifractal Detrended Fluctuation Analysis• UTMF-Core software: 10.5281/zenodo.17808853• UTMF-Core paper:    UTMF-Core: A Universal Multifractal Measurement Framework for Heterogeneous Physical Time Series• UTMF v5.1 coherence paper: Multifractal Coherence Across Physical Measurement Domains: A Fully Reproducible Cross-Domain Test Using UTMF v5.1

Author:Strive, Jedi Markus (ORCID: 0009-0000-7663-7946), Independent Researchercrisplatform@gmail.com
DOI: 10.5281/zenodo.18099908
title: Sets of QUBO problems (in Ising form) for six different problem types

description: Support data for arXiv:2509.19035. Sets of QUBO problems (in Ising form) for six different problem types. Train and tests for fixed-point QAOA including problems of sizes from 4 to 30 in pickle format.
DOI: 10.5281/zenodo.18099909
title: Sets of QUBO problems (in Ising form) for six different problem types

description: Support data for arXiv:2509.19035. Sets of QUBO problems (in Ising form) for six different problem types. Train and tests for fixed-point QAOA including problems of sizes from 4 to 30 in pickle format.
DOI: 10.5517/ccdc.csd.cc2l5f29
title: CCDC 2388490: Experimental Crystal Structure Determination

description: Related Article: Luca Massaro, Philipp Neigenfind, Andrew Feng, Gannon Kuehn, Flynn C. Attard, Ava DeSanti, Michael R. Collins, Martin Bravo, Raymond K. Twumasi, Doris Chen, Philippe N. Bolduc, Michael Nicastri, Megan A. Emmanuel, Martins S. Oderinde, Maximilian D. Palkowitz, Xiaofan Zheng, Arianne C. Hunter, Kaid C. Harper, Chet C. Tyrol, Pavel K. Mykhailiuk, Yu Kawamata, Phil S. Baran|2025|Nature Chemistry|||doi:10.1038/s41557-025-01990-x
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.cc2l7c3b
title: CCDC 2390351: Experimental Crystal Structure Determination

description: Related Article: Lishan Sun, Chenglong Liao, Zihua Zhu, Yangyang Ren, Ran Duan, Hongwei Ji, Ling Zang, Yanke Che, Jincai Zhao|2025|Chem.Mater.|37|1570|doi:10.1021/acs.chemmater.4c03183
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.cc2l8m7r
title: CCDC 2391564: Experimental Crystal Structure Determination

description: Related Article: Arka Porey, Ramon Trevino, Sachchida Nand, Seth O. Fremin, Shree Krishna Dhakal, Babu Raj Dhungana, Arko Das, Vy T. B. Nguyen, William T. Thompson, Dylan P. Moran, Chandan Kumar Giri, Hadi D. Arman, Daniel J. Wherritt, Oleg V. Larionov|2025|Nature Chemistry|||doi:10.1038/s41557-025-01996-5
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.cc2lpnqp
title: CCDC 2404103: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lpnrq
title: CCDC 2404104: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lpnsr
title: CCDC 2404105: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lpnts
title: CCDC 2404106: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lpnvt
title: CCDC 2404107: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lpnwv
title: CCDC 2404108: Experimental Crystal Structure Determination

description: Related Article: Yi-Jie Li, Yao Cheng, Yang Gao, Ai-Quan Jia, Qian-Feng Zhang|2025|Inorg.Chim.Acta|578|122518|doi:10.1016/j.ica.2024.122518
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.cc2lq2v8
title: CCDC 2404510: Experimental Crystal Structure Determination

description: Related Article: Hao-Yi Huang, Hong Li, Xingwei Cai, Shuyang Chen, Shaojun Zheng, Lulu Li, Peipei Cen, Lei Chen|2025|Inorg.Chim.Acta|581|122621|doi:10.1016/j.ica.2025.122621
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.