cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22047916
title: Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation

description: Multi-profile data can provide within-and-between profile information for efficiently modeling and monitoring system status. In practice, however, acquisition of such data requires large number of sensors, which raises various concerns and difficulties, for example, cost, energy, and data transmission bandwidth, in accessing the full data from each sensor. In this article, we propose an adaptive sampling strategy for multi-profile monitoring by using limited portion of data. The proposed sampling and monitoring scheme incorporates the within-and-between profile correlation and features the balance between random search and greedy search in identifying the most informative profiles. More specifically, the multivariate functional principal component analysis (MFPCA) is used to capture the within-and-between profile correlation, and the MFPC scores are augmented for unobservable profiles to feed into a multivariate CUSUM chart. Two properties of the proposed method for allocating sampling resources among sensors are investigated. Numerical and case studies are conducted under various scenarios to demonstrate the effectiveness of the method.
DOI: 10.6084/m9.figshare.22047916.v1
title: Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation

description: Multi-profile data can provide within-and-between profile information for efficiently modeling and monitoring system status. In practice, however, acquisition of such data requires large number of sensors, which raises various concerns and difficulties, for example, cost, energy, and data transmission bandwidth, in accessing the full data from each sensor. In this article, we propose an adaptive sampling strategy for multi-profile monitoring by using limited portion of data. The proposed sampling and monitoring scheme incorporates the within-and-between profile correlation and features the balance between random search and greedy search in identifying the most informative profiles. More specifically, the multivariate functional principal component analysis (MFPCA) is used to capture the within-and-between profile correlation, and the MFPC scores are augmented for unobservable profiles to feed into a multivariate CUSUM chart. Two properties of the proposed method for allocating sampling resources among sensors are investigated. Numerical and case studies are conducted under various scenarios to demonstrate the effectiveness of the method.
DOI: 10.5281/zenodo.18502865
title: Dynamic Multiple Reaction Monitoring mode (MRM) data file from a mouse brain sample

description: The MRM-standmix-5.mzML file contains data from a mouse brain sample acquired by HILIC ESI-QqQ/MS in Dynamic multiple reaction monitoring mode (MRM). HPLC system was a 1290 Infinity (Agilent Technologies) coupled to ion-Funnel Triple quadrupole 6490 mass spectrometer (Agilent Technologies). The file is in mzML format. This file was contributed by Xavi Domingo-Almenara from theThe Scripps Research Institute, San Diego, CA.
DOI: 10.5281/zenodo.18502866
title: Dynamic Multiple Reaction Monitoring mode (MRM) data file from a mouse brain sample

description: The MRM-standmix-5.mzML file contains data from a mouse brain sample acquired by HILIC ESI-QqQ/MS in Dynamic multiple reaction monitoring mode (MRM). HPLC system was a 1290 Infinity (Agilent Technologies) coupled to ion-Funnel Triple quadrupole 6490 mass spectrometer (Agilent Technologies). The file is in mzML format. This file was contributed by Xavi Domingo-Almenara from theThe Scripps Research Institute, San Diego, CA.
DOI: 10.5281/zenodo.18493833
title: Tailings Granulometry Database: sieve+hydrometer

description: The dataset records particle-size distribution (PSD) of tailing from Spanish Tailigs Storage Facilities. The data is provided asfracions: clay, silt and sand fractions and pH and EC.
DOI: 10.5281/zenodo.18493832
title: Tailings Granulometry Database: sieve+hydrometer

description: The dataset records particle-size distribution (PSD) of tailing from Spanish Tailigs Storage Facilities. The data is provided asfracions: clay, silt and sand fractions and pH and EC.
DOI: 10.58132/yuxfdx
title: Generalised entanglement entropies from unit-invariant singular value decomposition

description: Data files used to plot the figures in the accompanying paper. The names of the folders in zip files refer to the corresponding figures. In each zip file there are:.csv files with data presented in the corresponding figureREADME.md file with detailed information about data presented in the given figuremetadata.json file with metadata informationThe scripts in the file "Codes" generate plots from the paper, based on provided data points.
DOI: 10.15468/dl.uadrsw
title: Occurrence Download

description: A dataset containing 4538 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, scientificname, decimallatitude, decimallongitude, eventdate, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -28.773895969281842
 AND decimallatitude &lt;= -24.552553756517728
 AND decimallongitude &gt;= 116.381010795064
 AND decimallongitude &lt;= 124.49902042620815
 AND GBIF_Within('POLYGON ((124.499020 -28.773896, 124.499020 -24.552554, 116.381011 -24.552554, 116.381011 -28.773896, 124.499020 -28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 4538 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015967-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18502867
title: NASH/NAFL/Control|Untargeted Metabolomics Abundance Matrices

description: This record provides processed, sample-by-feature abundance matrices from an untargeted metabolomics study comparing three groups: NASH, NAFL, and Control. The dataset is intended for downstream statistical analysis, visualization, and reproducibility. Raw instrument files are not included; only derived quantitative matrices and accompanying sample metadata are provided.
DOI: 10.5281/zenodo.18502868
title: NASH/NAFL/Control|Untargeted Metabolomics Abundance Matrices

description: This record provides processed, sample-by-feature abundance matrices from an untargeted metabolomics study comparing three groups: NASH, NAFL, and Control. The dataset is intended for downstream statistical analysis, visualization, and reproducibility. Raw instrument files are not included; only derived quantitative matrices and accompanying sample metadata are provided.
DOI: 10.5281/zenodo.18500413
title: Data for: A Highly Limited Amino Acid Library from Asteroid Bennu Yields Wide-ranging Protein Folds

description: This zip folder contains various protein strucural data used to generate the results presented in "A Highly Limited Amino Acid Library from Asteroid Bennu Yields Wide-ranging Protein Folds". The folders correspond to different protein families -> specific PDB entries modeled -> different amino acid library classes -> amino acid library sizes (0 corresponds to a library size of 4, 1 to a library size of 5, etc.) -> indices labelling the 10 different sequences modeled.
DOI: 10.5281/zenodo.18502898
title: Typhoon causes cascading
DOI: 10.5281/zenodo.18502899
title: Typhoon causes cascading
DOI: 10.5281/zenodo.18502814
title: How Computational Notebooks Are Implemented in the Classroom: Challenges and Impacts—A Systematic Review

description: This dataset consists of four files: (1) Scopus database retrieval results, (2) Web of Science (WoS) database retrieval results, (3) synthesis workflow records (duplicate checking, Screening 1, full-texts sought for retrieval, and Screening 2), and (4) the scoring sheet for the synthesized studies.
DOI: 10.5281/zenodo.18502813
title: How Computational Notebooks Are Implemented in the Classroom: Challenges and Impacts—A Systematic Review

description: This dataset consists of four files: (1) Scopus database retrieval results, (2) Web of Science (WoS) database retrieval results, (3) synthesis workflow records (duplicate checking, Screening 1, full-texts sought for retrieval, and Screening 2), and (4) the scoring sheet for the synthesized studies.
DOI: 10.58132/nrboo7
title: Accurate crystal structure of ice VI from X-ray diffraction with Hirshfeld atom refinement

description: This data set contains raw and processed high-pressure X-ray diffraction data for the D2O and H2O which were used as data source in scientific paper published in IUCrJ journal under the following DOI: 10.1107/S2052252522006662The supplementary data, in relation to the published contribution, contains specifically:1.     Raw and processed X-ray diffraction data for single crystal of H2O measured at high pressure in a diamond anvil cell. These data were collected on a laboratory single-crystal diffractometer (University of Warsaw) and processed with the native CrysAlisPro software.2.     Raw and processed X-ray diffraction data for single crystal of D2O measured at high pressure in a diamond anvil cell. These data were collected on a laboratory single-crystal diffractometer (University of Warsaw) and processed with the native CrysAlisPro software.3.     Raw and processed X-ray diffraction data for single crystal of mix 50:50 H2O/D2O measured at high pressure in a diamond anvil cell. These data were collected on a laboratory single-crystal diffractometer (University of Warsaw) and processed with the native CrysAlisPro software.4.     Processed X-ray diffraction data for single crystal of D2O measured at high pressure in a diamond anvil cell. These data were collected at the synchrotron facility – Advanced Photon source (APS) at Argonne National Laboratory (in Lemont, Illinois, USA). Raw data were transferred to and processed with the CrysAlisPro software via Esperanto module. Processed data was divided into several subfolders (due to specific data collection strategy). In subfolder merge_attp1 data are merged and concatenated.5.     Raw and processed X-ray diffraction data for single crystal of mix D2O measured at high pressure in a diamond anvil cell. These data were collected at the synchrotron facility – Deutsches Elektronen-Synchrotron (DESY) in Hamburg (Germany). Raw data was transferred to and processed with the CrysAlisPro software. Raw data from synchrotron are placed in folder d2o_p2. Data transformed to CrysAlisPro format are placed in subfolder Esperanto.6.     Folder containing all CIF files deposited via Cambridge Crystallographic Data CentreDisclaimer: In this paper collected X-ray data were solved end refined with use of the Independent Atom Model (IAM) method. To improve the results, outcome of IAM worked as a source for Hirshfeld Atom Refinement (HAR). Although the publications includes both IAM and HAR results, both of them are derived from one presented data source.
DOI: 10.6084/m9.figshare.31274818
title: Relevant data of "Pore-Scale Size Effects Constrain Elastic Properties of Rocks"

description: This is all the relevant data about the "Pore-Scale Size Effects Constrain Elastic Properties of Rocks" manuscript.
DOI: 10.6084/m9.figshare.31274818.v1
title: Relevant data of "Pore-Scale Size Effects Constrain Elastic Properties of Rocks"

description: This is all the relevant data about the "Pore-Scale Size Effects Constrain Elastic Properties of Rocks" manuscript.
DOI: 10.5281/zenodo.18502947
title: A Topological Model of Temporal Resonance: The Singular Point and Infinite In-betweens (The Drew model)

description: The Drew Model of Temporal Resonance "A Topological Model of Temporal Resonance:

The Singular Point and Infinite In-betweens" presents a revolutionary non-linear framework for the universe. Developed by independent researcher Daniel Drew, this model (The Drew Model) identifies the Beginning (Alpha) and the End (Omega) as a single, non-local Singular Point—the only "Solid" reality in a universe of resonance.

Key Theoretical Pillars:

The Alpha-Omega Identity:

 Proposes that the Big Bang and the Big Crunch are the same geometric coordinate, creating a closed-loop topological system.

Topological Tension (The Ageing Effect):

 Provides a mechanical explanation for the subjective acceleration of time. As consciousness approaches the Omega anchor, the tightening of the spatial loop increases vibrational frequency, compressing the experience of time.

The Generated Void & Internal Metrics:

 Reconciles quantum non-locality with General Relativity by distinguishing between the "Solid" point (outside) and the infinite, zero-impedance Void (inside) which establishes its own internal rules for distance and the speed of light (\(c\)).

Quantum Continuity (The Slide):

Defines the "near-miss" phenomenon as Resonant Coupling, where consciousness transitions between adjacent spacetime string harmonics to avoid premature termination, ensuring a continuous "flow" of existence.

The Spatial Baseline:

 Identifies Space as a fundamental, looping "Base Note" that synchronizes disparate temporal frequencies into a stable, shared physical reality.

Self-Contained Loop Gravity:

Defines gravity as the internal tension of the topological loop, providing a self-sustaining engine for universal expansion and eventual resolution. This manuscript bridges the gap between Holographic Theory, String Resonance, and Phenomenology, offering a "Solid" architectural blueprint for a universe that is both an instantaneous moment and an infinite symphony of experience.
DOI: 10.18419/darus-5678
title: Data for Confinement-Induced Z-Selectivity in the Rhodium N-Heterocyclic Carbene-Catalyzed Hydroboration of Terminal Alkynes

description: &lt;p&gt;The concept of solid catalyst coated with a 1 nm layer of an ionic liquid [BMIM+ BF4-] was employed, resulting in a 22-fold increase in β(Z)-selectivity for Rh(I)- and Rh(III)- complexes based on N- and O-chelating N-heterocyclic carbenes (NHCs).&lt;/p&gt;

The primary data files for the synthesized ligand and complexes as well as performed catalysis are provided. The labeling of the data files proceeded according to the corresponding figures in the supporting information. It includes NMR of the synthesized complexes and catalysis, physisorption measurements and IR measurements. The Crystal data for the complexes Rh3, Rh5 and Rh6 is deposited in the Cambridge Structural Database (CSD) of the Cambridge Crystallographic Data Centre (CCDC).
DOI: 10.5281/zenodo.18502923
title: The Datasets for MFTabPFN
DOI: 10.5281/zenodo.18502924
title: The Datasets for MFTabPFN
DOI: 10.6084/m9.figshare.31242061
title: <b>Diagnostic Accuracy of PET Imaging for Lymph Node Detection in Breast Cancer Patients Undergoing Upfront Surgery: A Single-Institution Analysis of Breast Cancer Patients</b>

description: The role of PET imaging in lymph node staging for breast cancer patients proceeding to upfront surgery remains incompletely characterized. We evaluated the diagnostic accuracy of PET imaging in immediate surgical patients.
DOI: 10.6084/m9.figshare.31242061.v2
title: Breast Cancer data

description: The role of PET imaging in lymph node staging for breast cancer patients proceeding to upfront surgery remains incompletely characterized. We evaluated the diagnostic accuracy of PET imaging in immediate surgical patients.
DOI: 10.6084/m9.figshare.31242061.v3
title: <b>Diagnostic Accuracy of PET Imaging for Lymph Node Detection in Breast Cancer Patients Undergoing Upfront Surgery: A Single-Institution Analysis of Breast Cancer Patients</b>

description: The role of PET imaging in lymph node staging for breast cancer patients proceeding to upfront surgery remains incompletely characterized. We evaluated the diagnostic accuracy of PET imaging in immediate surgical patients.
DOI: 10.5281/zenodo.18502912
title: Reina Yano Farm (LiDAR) August 12 2025

description: This orthomosaic of Yona, Guam was created from 172 images taken on August 12 2025, at 130ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012)
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.18150/xyv8n8
title: Luka czynszowa w Polsce w latach 2010-2022

description: Zbiór danych zawiera informacje na temat luki czynszowej w Polsce w latach 2010-2022. Luka czynszowa oznacza udział gospodarstw domowych, które mają dochody zbyt niskie, aby uzyskać dostęp do odpowiednich mieszkań za pośrednictwem rynku komercyjnego, a jednocześnie nie otrzymują odpowiedniego wsparcia od państwa, aby zaspokoić swoje minimalne potrzeby mieszkaniowe.W badaniu podzielono gospodarstwa domowe na osiem grup w zależności od ich sytuacji mieszkaniowej. Dane zostały wyliczone na reprezentatywnej próbie gospodarstw domowych z badania EU-SILC.Zbiór zawiera dane na temat luki czynszowej w podgrupach gospodarstw domowych według ich cech społeczno-demograficznych - kompozycji, wieku, stopnia urbanizacji, sytuacji finansowej (kwintyl rozkładu dochodów), regionu, właściciela mieszkania, a także sposobu uzyskania prawa do użytkowania mieszkania (własność lub najem).Dokładny opis zbioru danych znajduje się w publikacji: Czerniak, A., Kroszka, J., & Twardoch, A. (2025). Efektywności polityki mieszkaniowej w Polsce w świetle wyników badania luki czynszowej w latach 2010–2022. Ruch Prawniczy, Ekonomiczny I Socjologiczny, 87(4), 219–240.Badanie zostało sfinansowane ze środków Narodowego Centrum Nauki w ramach projektu grantowego nr 2021/43/D/HS4/01649.
DOI: 10.15468/dl.7qrqvt
title: Occurrence Download

description: A dataset containing 907411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is Microbial Community Database (MiCoDa). A curated global 16S rRNA gene amplicon dataset from all environments"
 ]
}

 The dataset includes 907411 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015975-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8muaue
title: Occurrence Download

description: A dataset containing 1673 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, scientificname, decimallatitude, decimallongitude, eventdate, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -28.773895969281842
 AND decimallatitude &lt;= -24.552553756517728
 AND decimallongitude &gt;= 121.67105674029419
 AND decimallongitude &lt;= 129.91202131430416
 AND GBIF_Within('POLYGON ((129.912021 -28.773896, 129.912021 -24.552554, 121.671057 -24.552554, 121.671057 -28.773896, 129.912021 -28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1673 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015976-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/eh42-6453
title: Supplementary data for Spinifex sericeus reference genome

description: Supplementary data for manuscript
DOI: 10.6084/m9.figshare.31274794
title: Data_extract

description: Extract from the gear database of the Salesian Polytechnic University (UPS). An extract of the data analyzed in the article is shared: Early fault detection in gearboxes via dynamic principal component analysis–driven multivariate statistical process control, both for Phase I (gearbox in good condition) and for Phase II (low and high severity failure).
DOI: 10.6084/m9.figshare.31274794.v1
title: Data_extract

description: Extract from the gear database of the Salesian Polytechnic University (UPS). An extract of the data analyzed in the article is shared: Early fault detection in gearboxes via dynamic principal component analysis–driven multivariate statistical process control, both for Phase I (gearbox in good condition) and for Phase II (low and high severity failure).
DOI: 10.5278/4e842b2b-1ccd-4f10-b846-52447a11a0cb
title: Raw data: Creating a holistic understanding of Design and On-Site Construction Labor Productivity Drivers: Identifying phase universal and phase specific drivers
title: Raw data: Creating a holistic understanding of Design and On-Site Construction Labor Productivity Drivers: Identifying phase universal and phase specific drivers

description: Survey data
DOI: 10.6084/m9.figshare.31274989
title: Reading Worksheet

description: Reading Worksheet analysis
DOI: 10.6084/m9.figshare.31274989.v1
title: Reading Worksheet

description: Reading Worksheet analysis
DOI: 10.15468/dl.wthkrz
title: Occurrence Download

description: A dataset containing 554549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anopheles",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 554549 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015965-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we4ju7
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anathana ellioti"
 ]
}

 The dataset includes 63 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015982-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.