cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bza9g2
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koehneria madagascariensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 171 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007619-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18457777
title: xenopus_pygmaeus_spades_01.fasta.gz
DOI: 10.21942/uva.31231672
title: RDM-Enhancing Wide Bandgap Triple Halide-PEROVSKITE-Le-Ting-02-02-2026

description: The intrinsic properties of wide bandgap, triple cation, triple halide perovskites, like (Cs<sub>0.21</sub>FA<sub>0.74</sub>MA<sub>0.05</sub>)Pb(I<sub>0.81</sub>Br<sub>0.14</sub>Cl<sub>0.05</sub>)<sub>3</sub>, can be improved by simultaneous doping with zinc cations (0.5%) as well as formate anions (0.5%). Photoluminescence quantum yields (up to 14% on quartz), as well as photoluminescence lifetimes (up to ~7 µs on quartz) indicate improved optical properties. Based on photoluminescent properties, the optimal total doping concentration of zinc ions (Zn(II)) and formate anions (Fo<sup>-</sup>) is determined to be 1% relative to Pb(II).Research Data Management of this manuscripthttps://doi.org/10.26434/chemrxiv-2025-39jm6
DOI: 10.21942/uva.31231672.v1
title: RDM-Enhancing Wide Bandgap Triple Halide-PEROVSKITE-Le-Ting-02-02-2026

description: The intrinsic properties of wide bandgap, triple cation, triple halide perovskites, like (Cs<sub>0.21</sub>FA<sub>0.74</sub>MA<sub>0.05</sub>)Pb(I<sub>0.81</sub>Br<sub>0.14</sub>Cl<sub>0.05</sub>)<sub>3</sub>, can be improved by simultaneous doping with zinc cations (0.5%) as well as formate anions (0.5%). Photoluminescence quantum yields (up to 14% on quartz), as well as photoluminescence lifetimes (up to ~7 µs on quartz) indicate improved optical properties. Based on photoluminescent properties, the optimal total doping concentration of zinc ions (Zn(II)) and formate anions (Fo<sup>-</sup>) is determined to be 1% relative to Pb(II).Research Data Management of this manuscripthttps://doi.org/10.26434/chemrxiv-2025-39jm6
DOI: 10.5281/zenodo.18457776
title: xenopus_pygmaeus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18460917
title: Coupled Surface–Subsurface Investigation on Himalayan Debris-Flow Deposition and Fan Development: Insights from LiDAR and Geophysical Imaging of the Dharali Disaster
DOI: 10.5281/zenodo.18460918
title: Coupled Surface–Subsurface Investigation on Himalayan Debris-Flow Deposition and Fan Development: Insights from LiDAR and Geophysical Imaging of the Dharali Disaster
DOI: 10.15468/dl.eud4zh
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex buxbaumii)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 811 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007620-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18434922
title: Drinking Water Access Deprivation Modelled Dataset in Lagos, Nigeria

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps relative levels of difficulty in accessing safe and reliable drinking water across urban areas. It provides a spatial representation of access constraints by combining physical accessibility, service reliability, and demand pressures at the neighbourhood level. Model focus and indicators were prioritised through community engagement and validation exercises, ensuring that the representation of access deprivation reflects lived experiences and locally relevant conditions in the study areas.The model incorporates a gender lens by recognising that women are the primary collectors of drinking water and remain primarily responsible for household water use and management. This places women at the centre of everyday water-related labour and exposes them more directly to time burdens, queuing, and service reliability failures. However, evidence from validation Focus Group Discussions indicates that women’s participation in community-level drinking water decision-making is shaped less by formal exclusion and more by perceived opportunity costs and incentive structures. Women reported that engagement in such forums is often contingent on the presence of direct, tangible benefits, such as financial compensation, reflecting competing livelihood demands and limited perceived returns from unpaid participation. As a result, drinking water access is analysed not only as an infrastructural challenge, but as a factor with complex implications for women’s empowerment, particularly in relation to agency, participation, and the conditions under which collective engagement becomes viable.
DOI: 10.5281/zenodo.18434923
title: Drinking Water Access Deprivation Modelled Dataset in Lagos, Nigeria

description: Produced as part of the IDEAMAPS Data Ecosystem project, this dataset maps relative levels of difficulty in accessing safe and reliable drinking water across urban areas. It provides a spatial representation of access constraints by combining physical accessibility, service reliability, and demand pressures at the neighbourhood level. Model focus and indicators were prioritised through community engagement and validation exercises, ensuring that the representation of access deprivation reflects lived experiences and locally relevant conditions in the study areas.The model incorporates a gender lens by recognising that women are the primary collectors of drinking water and remain primarily responsible for household water use and management. This places women at the centre of everyday water-related labour and exposes them more directly to time burdens, queuing, and service reliability failures. However, evidence from validation Focus Group Discussions indicates that women’s participation in community-level drinking water decision-making is shaped less by formal exclusion and more by perceived opportunity costs and incentive structures. Women reported that engagement in such forums is often contingent on the presence of direct, tangible benefits, such as financial compensation, reflecting competing livelihood demands and limited perceived returns from unpaid participation. As a result, drinking water access is analysed not only as an infrastructural challenge, but as a factor with complex implications for women’s empowerment, particularly in relation to agency, participation, and the conditions under which collective engagement becomes viable.
DOI: 10.25318/3510022801-fra
title: Comptes moyens des adultes sous garde fédérale et provinciale selon l’identité raciale

description: Surveillance dans un établissement de détention, comptes moyens des adultes, programmes fédéraux et provinciaux, selon l’identité racial, cinq années de données.
DOI: 10.15468/dl.jk765x
title: Occurrence Download

description: A dataset containing 7308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex canescens, Carex canescens, Carex canescens, Carex canescens, Carex canescens, Carex canescens, Carex curta)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7308 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007621-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h23ftn
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalopachus bancanus bancanus"
 ]
}

 The dataset includes 28 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007622-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3m9edn
title: Occurrence Download

description: A dataset containing 2141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagerstroemia indica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2141 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007625-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fqsgw
title: Occurrence Download

description: A dataset containing 3978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Honduras",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 3978 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007623-260129131611470/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.31231999
title: CI and NH TRFs for Working memory load modulates neural envelop tracking to continuous, natural speech in cochlear implant users

description: TRF dataset contains EEG files for each CI and NH participant.
DOI: 10.6084/m9.figshare.31231999.v1
title: CI and NH TRFs for Working memory load modulates neural envelop tracking to continuous, natural speech in cochlear implant users

description: TRF dataset contains EEG files for each CI and NH participant.
DOI: 10.15468/dl.zr3fqu
title: Occurrence Download

description: A dataset containing 250902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus petraea",
 "Year 1990-2026"
 ]
}

 The dataset includes 250902 records from 1410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007571-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jddkx6
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049905-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8eeu8m
title: Occurrence Download

description: A dataset containing 536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Tatera indica"
 ]
}

 The dataset includes 536 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027388-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jubgw
title: Occurrence Download

description: A dataset containing 676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Artportalen, Observation.org, Nature data from around the World, DOF/BirdLife Denmark - Observations from DOFbasen, Norwegian Species Observation Service, Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019, Southern African Bird Atlas Project 2, INPN - Données flore des CBN agrégées par la FCBN, NABU|naturgucker)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult., Heteropogon concinnus Thwaites)"
 ]
}

 The dataset includes 676 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021797-250525065834625/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.31231789
title: Multi-Modal Autonomous Driving Sensor Dataset (MM-ADS)

description: A <b>multi-modal autonomous vehicle sensor dataset</b> was collected to support the development and evaluation of the proposed AI-based autonomous driving framework. The dataset consists of <b>50,000 time-synchronized samples</b>, divided into <b>70% training data (35,000 samples)</b> and <b>30% testing data (15,000 samples)</b>. Each sample corresponds to a single time step recorded during vehicle operation under controlled driving scenarios.The dataset includes <b>sensor-only measurements</b>, excluding RGB image data, and integrates information from <b>LiDAR, radar, ultrasonic sensors, GPS, and IMU</b>, along with ego-vehicle dynamics such as speed and yaw rate. LiDAR and radar readings are provided in structured numerical form to capture spatial and motion characteristics efficiently, while GPS and IMU data support localization and vehicle state estimation. Ultrasonic sensor data enable short-range obstacle detection.Data were collected across <b>urban and highway environments</b> under varying <b>weather conditions (clear, rain, fog)</b> and <b>lighting settings (day and night)</b> to ensure diversity and robustness. All data are stored in <b>CSV format</b>, with each row representing a synchronized sensor observation.This dataset is used to train and evaluate <b>sensor fusion, decision-making, energy-aware route optimization, and explainable AI models</b> within the proposed autonomous vehicle framework, ensuring reproducible and efficient experimentation.
DOI: 10.6084/m9.figshare.31231789.v1
title: Multi-Modal Autonomous Driving Sensor Dataset (MM-ADS)

description: A <b>multi-modal autonomous vehicle sensor dataset</b> was collected to support the development and evaluation of the proposed AI-based autonomous driving framework. The dataset consists of <b>50,000 time-synchronized samples</b>, divided into <b>70% training data (35,000 samples)</b> and <b>30% testing data (15,000 samples)</b>. Each sample corresponds to a single time step recorded during vehicle operation under controlled driving scenarios.The dataset includes <b>sensor-only measurements</b>, excluding RGB image data, and integrates information from <b>LiDAR, radar, ultrasonic sensors, GPS, and IMU</b>, along with ego-vehicle dynamics such as speed and yaw rate. LiDAR and radar readings are provided in structured numerical form to capture spatial and motion characteristics efficiently, while GPS and IMU data support localization and vehicle state estimation. Ultrasonic sensor data enable short-range obstacle detection.Data were collected across <b>urban and highway environments</b> under varying <b>weather conditions (clear, rain, fog)</b> and <b>lighting settings (day and night)</b> to ensure diversity and robustness. All data are stored in <b>CSV format</b>, with each row representing a synchronized sensor observation.This dataset is used to train and evaluate <b>sensor fusion, decision-making, energy-aware route optimization, and explainable AI models</b> within the proposed autonomous vehicle framework, ensuring reproducible and efficient experimentation.
DOI: 10.15468/dl.8kachw
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Androsace septentrionalis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007390-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/0vy81hxx
title: Supplemental Tables from A Comparative Analysis of Analytical Techniques for Rapid Oil Spill Identification
DOI: 10.5281/zenodo.18460169
title: Dataset for "Improving sediment rating curve regionalization in data-scarce catchments using hydrological-year stratification"
DOI: 10.5281/zenodo.18460170
title: Dataset for "Improving sediment rating curve regionalization in data-scarce catchments using hydrological-year stratification"
DOI: 10.5281/zenodo.18457516
title: From Spectral Triples to Classical Geometry: A Mathematically Framework for Emergent Gravity

description: This work presents a mathematicall framework based on noncommutative geometry where clas-sical spacetime, gauge fields, and gravitational degrees of freedom emerge from spectral data. Wecarefully distinguish between established results and original contributions. The foundational resultswe build upon are: (1) Connes’ reconstruction theorem [1, 8] showing how Riemannian spin manifoldsemerge from commutative spectral triples, (2) The spectral action principle of Chamseddine-Connes[9, 10] yielding Einstein-Hilbert and Yang-Mills actions from heat kernel coefficients, and (3) Thefluctuation of the Dirac operator generating gauge fields.Our original contributions, presented as precisely formulated definitions, theorems, and conjec-tures, include:(i) A spectral entropy functional and gradient flow inspired by Perelman’s Ricci flowprogram [11, 12, 13], providing a dynamical mechanism for geometry emergence and phase transitionsbetween noncommutative and commutative regimes.(ii) An emergent bilinear tensor field Tμν (a, b) constructed from spectral data, whose prop-erties we analyze in detail, showing its relation to both metric and torsion structures.(iii) Novel connections between spectral data and torsion:• Theorem demonstrating how Tμν detects torsion through the double commutator [D, [D, xμ]]• Proposition linking algebra noncommutativity to effective torsion via Seiberg-Witten-type maps• Theorem identifying Tμν with components of the conformal Cartan connection torsion• Conjecture on torsion dynamics under spectral flow(iv) Physical consequences including:• Modified dispersion relations from nonlocal corrections to the Dirac operator• Torsion contributions to quantum anomalies and their implications for baryogenesis• Cosmological consequences of emergent torsion as a potential dark energy source• Constraints on torsion from experimental data and predictions for future observations(v) A synthesis of multiple approaches: We demonstrate how our framework unifies:• Noncommutative geometry (Connes’ program) with modern geometric analysis (Perelman’sflows)• Einstein-Cartan gravity with spectral geometry• Thermodynamic/entropic gravity paradigms (Bianconi [14, 15], Verlinde [16, 17], Jacobson [18])• String-theoretic Kalb-Ramond fields with spectral torsion• Loop quantum gravity spin networks with continuum torsion descriptionsAll mathematical statements are formulated with definitions and necessary conditions. We pro-vide rigorous proofs where possible and clearly indicate open problems requiring further investigation.The work establishes concrete bridges between abstract noncommutative geometry, geometric analy-sis, and phenomenological physics, offering testable predictions for both mathematical developmentsand physical observations.
DOI: 10.5281/zenodo.18457515
title: From Spectral Triples to Classical Geometry: A Mathematically Framework for Emergent Gravity

description: This work presents a mathematicall framework based on noncommutative geometry where clas-sical spacetime, gauge fields, and gravitational degrees of freedom emerge from spectral data. Wecarefully distinguish between established results and original contributions. The foundational resultswe build upon are: (1) Connes’ reconstruction theorem [1, 8] showing how Riemannian spin manifoldsemerge from commutative spectral triples, (2) The spectral action principle of Chamseddine-Connes[9, 10] yielding Einstein-Hilbert and Yang-Mills actions from heat kernel coefficients, and (3) Thefluctuation of the Dirac operator generating gauge fields.Our original contributions, presented as precisely formulated definitions, theorems, and conjec-tures, include:(i) A spectral entropy functional and gradient flow inspired by Perelman’s Ricci flowprogram [11, 12, 13], providing a dynamical mechanism for geometry emergence and phase transitionsbetween noncommutative and commutative regimes.(ii) An emergent bilinear tensor field Tμν (a, b) constructed from spectral data, whose prop-erties we analyze in detail, showing its relation to both metric and torsion structures.(iii) Novel connections between spectral data and torsion:• Theorem demonstrating how Tμν detects torsion through the double commutator [D, [D, xμ]]• Proposition linking algebra noncommutativity to effective torsion via Seiberg-Witten-type maps• Theorem identifying Tμν with components of the conformal Cartan connection torsion• Conjecture on torsion dynamics under spectral flow(iv) Physical consequences including:• Modified dispersion relations from nonlocal corrections to the Dirac operator• Torsion contributions to quantum anomalies and their implications for baryogenesis• Cosmological consequences of emergent torsion as a potential dark energy source• Constraints on torsion from experimental data and predictions for future observations(v) A synthesis of multiple approaches: We demonstrate how our framework unifies:• Noncommutative geometry (Connes’ program) with modern geometric analysis (Perelman’sflows)• Einstein-Cartan gravity with spectral geometry• Thermodynamic/entropic gravity paradigms (Bianconi [14, 15], Verlinde [16, 17], Jacobson [18])• String-theoretic Kalb-Ramond fields with spectral torsion• Loop quantum gravity spin networks with continuum torsion descriptionsAll mathematical statements are formulated with definitions and necessary conditions. We pro-vide rigorous proofs where possible and clearly indicate open problems requiring further investigation.The work establishes concrete bridges between abstract noncommutative geometry, geometric analy-sis, and phenomenological physics, offering testable predictions for both mathematical developmentsand physical observations.
DOI: 10.6084/m9.figshare.26928658
title: Data: Managing personalities: effects of forestry on North American red squirrel personality distributions and activity

description: These data and code accompany the submitted research paper: "Humphreys et al. <b>Managing personalities: effects of forestry on North American red squirrel personality distributions and activity</b>." These data can be used to replicate all main analyses in the paper. These data are not intended for use in other publications. Please contact the authors if you would like to collaborate on a project using these data or if additional comments or questions arise:Brigit Humphreys (brigit.humphreys@maine.edu)Alessio Mortelliti (alessio.mortelliti@maine.edu)