cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive171878.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/3ydu4n00
title: A Framework for Portrait Stylization with Skin-Tone Awareness and Nudity Identification

description: Portrait stylization framework that incorporates a nudity content identification module (NCIM) and a skin-tone-aware portrait stylization module (STAPSM).
DOI: 10.13145/bacdive171879.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171879.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171880.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171880.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171881.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/oc5lyvuu
title: Spheres

description: The Spheres dataset is a synthetic dataset for which the data for each class lies in one of two concentric spheres, inspired by the work of Gilmer et al. (2018).
DOI: 10.13145/bacdive171881.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171882.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.sdpv86
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.60111000000001 24.825288, 88.523742 24.819711, 88.4483 24.803119, 88.37665800000001 24.775923, 88.310596 24.738802, 88.251749 24.692676, 88.20157 24.638691, 88.161289 24.578185, 88.131891 24.512656, 88.11408299999999 24.443723, 88.10828600000001 24.373089, 88.11462299999999 24.302493, 88.132919 24.233672, 88.162705 24.168317, 88.20323399999999 24.108031, 88.25349900000001 24.054289, 88.31225999999999 24.008407, 88.378074 23.971505, 88.44932799999999 23.944484, 88.524283 23.928004, 88.60111000000001 23.922465, 88.677937 23.928004, 88.752892 23.944484, 88.824146 23.971505, 88.88996 24.008407, 88.94872100000001 24.054289, 88.998986 24.108031, 89.03951499999999 24.168317, 89.069301 24.233672, 89.087597 24.302493, 89.093934 24.373089, 89.088137 24.443723, 89.070329 24.512656, 89.040931 24.578185, 89.00064999999999 24.638691, 88.95047099999999 24.692676, 88.89162399999999 24.738802, 88.82556200000001 24.775923, 88.75391999999999 24.803119, 88.678478 24.819711, 88.60111000000001 24.825288))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079495-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15135255
title: Table 1 in Late Silurian palynomorphs from the Precordillera of San Juan, Argentina: Diversity, palaeoenvironmental and palaeogeographic significance

description: Table 1. Marine and terrestrial taxa (in %) from the Los Espejos Formation (Precordillera Argentina) also present in coeval palaeoplates worldwide and in other Gondwanan localities.
Marine palynomorphsTerrestrial palynomorphsArmorica19.8138.46Avalonia53.7738.46Baltica59.4333.33Gondwana27.3556.41Laurentia20.7517.94
description: Published as part of García Muro, Victoria J., Rubinstein, Claudia V. & Steemans, Philippe, 2018, Late Silurian palynomorphs from the Precordillera of San Juan, Argentina: Diversity, palaeoenvironmental and palaeogeographic significance, pp. 45 in Acta Palaeontologica Polonica 63 (1) on page 45, DOI: 10.4202/app.00400.2017, http://zenodo.org/record/10626537
DOI: 10.5281/zenodo.15135254
title: Table 1 in Late Silurian palynomorphs from the Precordillera of San Juan, Argentina: Diversity, palaeoenvironmental and palaeogeographic significance

description: Table 1. Marine and terrestrial taxa (in %) from the Los Espejos Formation (Precordillera Argentina) also present in coeval palaeoplates worldwide and in other Gondwanan localities.
Marine palynomorphsTerrestrial palynomorphsArmorica19.8138.46Avalonia53.7738.46Baltica59.4333.33Gondwana27.3556.41Laurentia20.7517.94
description: Published as part of García Muro, Victoria J., Rubinstein, Claudia V. & Steemans, Philippe, 2018, Late Silurian palynomorphs from the Precordillera of San Juan, Argentina: Diversity, palaeoenvironmental and palaeogeographic significance, pp. 45 in Acta Palaeontologica Polonica 63 (1) on page 45, DOI: 10.4202/app.00400.2017, http://zenodo.org/record/10626537
DOI: 10.15468/dl.88xrpj
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Helictochloa hookeri"
 ]
}

 The dataset includes 55 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008020-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx7bph
title: Occurrence Download

description: A dataset containing 6144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardellina rubra",
 "Year 2023-2025"
 ]
}

 The dataset includes 6144 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062853-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kvkkb
title: Occurrence Download

description: A dataset containing 79666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-85 -4,-65 -4,-65 13,-85 13,-85 -4))",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 1988-2014"
 ]
}

 The dataset includes 79666 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010288-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zuwcx
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus"
 ]
}

 The dataset includes 479 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010329-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.na4dxw
title: Occurrence Download

description: A dataset containing 94332 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invazivke - Invasive Alien Species in Slovenia"
 ]
}

 The dataset includes 94332 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010306-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vup9sa
title: Occurrence Download

description: A dataset containing 8296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balanus balanus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8296 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010322-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y49qzd
title: Occurrence Download

description: A dataset containing 2415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is one of (PRT.10.8_1, PRT.10.12_1, PRT.6.3_1, PRT.10.7_1, PRT.6.1_1, PRT.6.4_1, PRT.7.12_1, PRT.6.6_1, PRT.11.13_1, PRT.11.8_1, PRT.7.6_1, PRT.6.9_1, PRT.16.11_1, PRT.6.10_1, PRT.16.19_1, PRT.16.1_1, PRT.16.21_1, PRT.16.8_1)",
 "License is CC0 1.0",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 74249eb0-0df2-48dd-96a6-be8770eb175b)"
 ]
}

 The dataset includes 2415 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010328-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxrrce
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anacampseros kurtzii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010321-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsxpdb
title: Occurrence Download

description: A dataset containing 23324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ara militaris"
 ]
}

 The dataset includes 23324 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010324-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7298/pz39-p920
title: Data and scripts from Modeling the Seasonality of Wind-Driven Hydrocarbon Waves in Titan's Polar Lakes
DOI: 10.25934/pr00012486.0
title: Available datapackage for study 'SCALE-UP Counts: A Health Information Technology Approach to Increasing COVID-19 Testing in Elementary and Middle Schools Serving Disadvantaged Communities'

description: This project will address key testing challenges in Utah schools by building on collaborations with public school districts, private schools, charter schools and with Utah Department of Health on coronavirus disease (COVID-19) testing and existing infrastructure. The study team will work closely with schools and the Utah public health system to implement and test a shovel-ready and scalable health information technology approach that delivers automated text messages (TM) to students' parents around COVID-19 testing. In addition, some parents will receive a health navigator (HN) follow-up to ensure that tests are completed. Families will be offered the recently FDA-approved in-home serial testing approach if accessing in-person testing is a challenge. While this project is focused on COVID-19 testing, in the case that the COVID-19 vaccination becomes more relevant or is the priority of the school, the study team is able to tailor the intervention to focus on the vaccine as well. The outcomes in this study utilized parent/student reported data. Staff data were also collected but will not be reflected in primary outcome analyses.
DOI: 10.15468/dl.y7hwwy
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucanthemum heterophyllum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 337 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010332-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw4de9
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Andrena anisochlora"
 ]
}

 The dataset includes 252 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010330-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvkv56
title: Occurrence Download

description: A dataset containing 4643139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Geometry POLYGON((171.98905 -39.49421,168.86894 -42.61433,170.12138 -47.40437,175.5706 -43.14167,174.1204 -40.65876,171.98905 -39.49421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2001-2026"
 ]
}

 The dataset includes 4643139 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010293-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18473387
title: Alkylrandomization quantum experiments (DNA-Lang) [hardware update]

description: Updated to include hardware job d6153pao8gvs73f0hv60 on backend ibm_fez.
DOI: 10.5281/zenodo.18474638
title: Alkylrandomization quantum experiments (DNA-Lang) [hardware update]

description: Updated to include hardware job d6153pao8gvs73f0hv60 on backend ibm_fez.
DOI: 10.15468/dl.kewyta
title: Occurrence Download

description: A dataset containing 7258 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liatongus"
 ]
}

 The dataset includes 7258 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010334-260129131611470/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.31244734.v1
title: ReadMe

description: Code and data associated with publication: Ex situ thermal acclimation during development affects temperature selection but not reintroduction performance in an endangered frog (Rana muscosa)
DOI: 10.5281/zenodo.17788200
title: [Data] Federated Learning for Self-Supervised Acoustic Intelligence in LPBF: Physics-Guided Learnable-QSincNet for Cross-Domain Representation with Causally Explainable Spectral Insights

description: Airborne acoustic emission (AE) forms a rich component of Laser Powder Bed Fusion (LPBF) process emissions and offers a high-value channel for in-situ process monitoring; however, leveraging this information for industrial deployment remains challenging due to cross-domain variability in process conditions, strict data-governance constraints, and the absence of physics-guided representation learning. This work introduces a federated learning framework for self-supervised acoustic intelligence in LPBF, enabling distributed model training across heterogeneous data domains without sharing raw sensor signals. At the core of the method is a Physics-Guided Learnable-Q SincNet, a learnable front-end that adaptively discovers defect-sensitive spectral bands while enforcing physically meaningful frequency parametrization. Combined with a joint inter–intra self-supervised objective, the framework learns cross-domain representations that remain robust across diverse LPBF datasets reflecting variations in defect regimes, melt-pool dynamics, and spectral characteristics. To ensure interpretability, we develop a causally explainable spectral analysis pipeline, revealing how specific learned frequency bands contribute to identifying lack-of-fusion, conduction-mode, and keyhole regimes. The resulting causal spectral pathways highlight physically interpretable links between AE signatures and melt-pool stability, offering insight into the acoustic mechanisms underlying defect formation. Experimental results demonstrate strong cross-domain generalization, coherent latent clustering, and enhanced monitoring performance—all achieved without centralized data aggregation. Overall, this work provides a privacy-preserving, physics-informed, and causally transparent approach for next-generation in-situ acoustic monitoring in LPBF, paving the way toward scalable intelligent manufacturing systems
DOI: 10.5281/zenodo.17788201
title: [Data] Federated Learning for Self-Supervised Acoustic Intelligence in LPBF: Physics-Guided Learnable-QSincNet for Cross-Domain Representation with Causally Explainable Spectral Insights

description: Airborne acoustic emission (AE) forms a rich component of Laser Powder Bed Fusion (LPBF) process emissions and offers a high-value channel for in-situ process monitoring; however, leveraging this information for industrial deployment remains challenging due to cross-domain variability in process conditions, strict data-governance constraints, and the absence of physics-guided representation learning. This work introduces a federated learning framework for self-supervised acoustic intelligence in LPBF, enabling distributed model training across heterogeneous data domains without sharing raw sensor signals. At the core of the method is a Physics-Guided Learnable-Q SincNet, a learnable front-end that adaptively discovers defect-sensitive spectral bands while enforcing physically meaningful frequency parametrization. Combined with a joint inter–intra self-supervised objective, the framework learns cross-domain representations that remain robust across diverse LPBF datasets reflecting variations in defect regimes, melt-pool dynamics, and spectral characteristics. To ensure interpretability, we develop a causally explainable spectral analysis pipeline, revealing how specific learned frequency bands contribute to identifying lack-of-fusion, conduction-mode, and keyhole regimes. The resulting causal spectral pathways highlight physically interpretable links between AE signatures and melt-pool stability, offering insight into the acoustic mechanisms underlying defect formation. Experimental results demonstrate strong cross-domain generalization, coherent latent clustering, and enhanced monitoring performance—all achieved without centralized data aggregation. Overall, this work provides a privacy-preserving, physics-informed, and causally transparent approach for next-generation in-situ acoustic monitoring in LPBF, paving the way toward scalable intelligent manufacturing systems
DOI: 10.6084/m9.figshare.31244797
title: misteli_optoloop_Fig2E

description: Data used for Figure 2E
DOI: 10.6084/m9.figshare.31244797.v1
title: misteli_optoloop_Fig2E

description: Data used for Figure 2E
DOI: 10.5281/zenodo.17952779
title: Pyramidal Hybrid Neural Network Framework (BrainIAc_v1.0) : Technical Documentation and Experimental Results

description: Project Overview

Pre-publication technical documentation and experimental validation results for a hybrid neural network framework enabling gradient-based training of heterogeneous spiking neuron populations.

Description/Summary:

Key Features:



Mixed neuron training: LIF + Izhikevich (10 types) + Hodgkin-Huxley (3 variants) trained together via gradient descent

Large-scale validation: Up to 200 neurons with realistic cortical architectures

Three learning modes: Separate, Simultaneous, Combined (pretrain + fine-tune)

Pyramidal architecture: 1→50→1 hourglass structure (13 layers, 308 neurons)

Real-time 3D visualization: 60 FPS interactive rendering with OpenGL

Dynamic reconfiguration: Neurons can change type during simulation

Comprehensive testing: 20+ validation scenarios, 75% success rate


Validated Results:



XOR problem: 56% loss reduction (pure LIF, 100 epochs)

Mixed types: Stable convergence (4 LIF + 4 Izh + 4 HH, 80 epochs) ⭐ BREAKTHROUGH

100-neuron cortical microcircuit: Functional layer specialization validated

200-neuron cortical circuit: Realistic excitatory/inhibitory dynamics

13 neuron types: All show expected biological firing patterns


Comprehensive Dataset:



Technical documentation: 24 PDFs (~150 pages total)



Core theory (9 PDFs)

Framework architecture (5 PDFs)

Advanced topics (10 PDFs: biological layers, visualization, roadmap)



Experimental validation: 65+ CSV files with raw spike timing data

Visual documentation: 67 screenshots

Analysis: RESULTS_SUMMARY.md (36.8 KB detailed analysis)

README.md (28.4 KB): Complete usage instructions and technical specifications

CITATION.md (11.3 KB): Citation formats in BibTeX, APA, IEEE, MLA, Nature

LICENSE.txt (2.4 KB): Full CC BY-NC 4.0 license terms


License: CC BY-NC 4.0 (Non-Commercial) ✅ Academic research and educational use freely permitted with proper attribution ❌ Commercial use NOT permitted without explicit written permission 📧 For commercial licensing inquiries: theo.vallois@hotmail.fr

Source Code: Full source code (BrainIAc framework) will be released under CC BY-NC 4.0 on GitHub upon paper acceptance (expected Q1 2026).

Repository: https://github.com/EmpireStrikesBack/NeuroModel

Demonstration Video: https://youtu.be/kiU609iozFw Real-time 3D visualization of 308-neuron pyramidal network with interactive controls.

Contact: Author: Théo Vallois Email: theo.vallois@hotmail.fr GitHub: https://github.com/EmpireStrikesBack/NeuroModel