cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yvws65
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adlafia bryophila (J.B.Petersen) Gerd Moser, Lange-Bertalot & D.Metzeltin, 1998",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038876-250525065834625/datasets/export for details.
DOI: 10.15468/dl.69pk6e
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes caspicus Morawitz, 1874"
 ]
}

 The dataset includes 81 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038877-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p8a2t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Floscopa glomerata (Willd. ex Schult. & Schult.f.) Hassk.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038878-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vh8sje
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes collaris Dours, 1872"
 ]
}

 The dataset includes 497 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038879-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15649883
title: Mudanças Climáticas e os Impactos em Países Insulares como o Japão: Uma Análise Multidimensional dos Riscos Ambientais e Sociais
title: Mudanças Climáticas e os impactos em países insulares como o Japão

description: Este artigo é uma síntese científica baseada no Trabalho de Conclusão de Curso (TCC) de RoseliSilva, bióloga formada pela Universidade Católica Dom Bosco, com enfoque nos efeitos dasmudanças climáticas em países insulares, com especial atenção ao Japão. A hipótese centralsustenta que o aumento da temperatura média global em 1,5 °C ou mais intensificará ameaças aossistemas naturais e humanos nas ilhas.
DOI: 10.15468/dl.avxyju
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenocercus iridescens (Günther, 1859)"
 ]
}

 The dataset includes 279 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038880-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15650014
title: EUCLID package reference databases for installation

description: to be downloaded when installing the EUCLID package for spatial lipidomics analysis via pip
DOI: 10.5281/zenodo.15650013
title: EUCLID package reference databases for installation

description: to be downloaded when installing the EUCLID package for spatial lipidomics analysis via pip
DOI: 10.15468/dl.7knnce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adlafia bryophila (J.B.Petersen) Gerd Moser, Lange-Bertalot & D.Metzeltin, 1998",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038882-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ykj53v
title: Occurrence Download

description: A dataset containing 23807 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes cunicularius (Linnaeus, 1761)"
 ]
}

 The dataset includes 23807 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038883-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvsrxk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Floscopa glomerata (Willd. ex Schult. & Schult.f.) Hassk.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038884-250525065834625/datasets/export for details.
DOI: 10.25345/c5db7w32d
title: MassIVE MSV000098159 - XIAMENUNIVERSITY-QIUYAN-B15-aurantiomide C
title: B15 aurantiomide C 915190-86-2 Penicillium polonicum C18H20N4O3 340.38
DOI: 10.15468/dl.jmn456
title: Occurrence Download

description: A dataset containing 13903 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes daviesanus Smith, 1846"
 ]
}

 The dataset includes 13903 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038885-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trvr2e
title: Occurrence Download

description: A dataset containing 2030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes floralis Eversmann, 1852"
 ]
}

 The dataset includes 2030 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038886-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbc5s9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adlafia bryophila (J.B.Petersen) Gerd Moser, Lange-Bertalot & D.Metzeltin, 1998",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038887-250525065834625/datasets/export for details.
DOI: 10.60520/ieda/113848
title: Fe3+ content of experimental pyroxenes and melt analyzed with in-situ synchrotron Mössbauer spectroscopy v.2

description: An accurate understanding of the partition coefficients of Fe3+ and Fe2+ between silicate minerals and melts (DFe3+, DFe2+, and DFe3+/DFe2+) is required to quantify redox variations during magmatic processes. However, the mineral/melt DFe3+ and DFe2+ are sparsely reported due to the difficulties in determining Fe3+ content of the minerals in quenched experimental run products. Recent progress in the use of synchrotron radiation sources has developed new frontiers in the study of Fe3+ partitioning between minerals and melts. In this study, we analyzed Fe3+ content of experimentally synthesized pyroxenes and melt with the in-situ synchrotron Mössbauer spectroscopy using a beam size &lt; 10 μm and determined accurate DFe3+ and DFe2+ for orthopyroxene (opx), clinopyroxene (cpx), and spinel (spl) crystallized at the equilibrium pressure and temperature of 1.3 GPa and 1200 °C. The obtained DFe3+ values are 0.62 (±0.02) for opx, 0.96 (±0.03) for cpx, and 6.79 (±0.28) for spl. The corresponding DFe2+ are 1.05 (±0.03) for opx, 0.53 (±0.01) for cpx, and 2.96 (±0.08) for spl. The DFe3+/DFe2+ ratios, calculated from paired DFe3+ and DFe2+ values, are 0.59 (±0.02) for opx, 1.85 (±0.07) for cpx, and 2.29 (±0.04) for spl. It is, therefore, expected that during partial melting of spinel lherzolite in a closed system, the consumption of opx will decrease Fe3+/FeT and fO2 of the magma. In contrast, the consumption of cpx and spl has the opposite effect. A preliminary modeling, based on these partition coefficients, shows that partial melting of an ordinary sub-arc mantle with Fe3+/FeT of 3.7% cannot account for the elevated Fe3+/FeT of primitive arc basalts, suggesting that arc basalts inherited the oxidizing signature from intrinsically oxidized mantle sources.
description: Wang et al., Determination of Fe3+ and Fe2+ partition coefficients between pyroxenes and basaltic melt with in-situ synchrotron Mössbauer spectroscopy. J Pet (In revision)
DOI: 10.6084/m9.figshare.29304767
title: IHC and ISH data.docx

description: IHC and ISH data of gastric cancer
DOI: 10.6084/m9.figshare.29304767.v1
title: IHC and ISH data.docx

description: IHC and ISH data of gastric cancer
DOI: 10.6084/m9.figshare.29306702
title: WUE Raw data.zip

description: Ecological data Dinghushan
DOI: 10.6084/m9.figshare.29306702.v1
title: WUE Raw data.zip

description: Ecological data Dinghushan
DOI: 10.15468/dl.ekurvb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monopsis belliflora E.Wimm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038888-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15497354
title: Balti-Tamko: The first Balti spoken words dataset

description: Balti Speech Dataset

This dataset comprises 10,394 high-quality voice recordings capturing approximately 500 distinct isolated Balti words, primarily nouns. The recordings were collected from 39 native Balti speakers representing all five geographical regions of Baltistan in the Gilgit-Baltistan territory of Pakistan. Each audio sample is accompanied by its corresponding text transcription, ensuring robust training capabilities for Automatic Speech Recognition (ASR) systems.

ASR Training Experiments

The dataset has been rigorously evaluated through two primary training methodologies:





Training from Scratch





Implemented using GMM-HMM and TDNN architectures via the Kaldi toolkit.






Fine-Tuning Pre-Trained Models





Leveraged OpenAI’s Whisper models, fully fine-tuned to optimize performance for Balti speech recognition.





Performance & Applications

The experiments demonstrate high accuracy in isolated Balti word recognition, making this dataset a valuable resource for:





Low-resource language ASR development




Linguistic research on the Balti language




Preservation and digitization of regional dialects



This dataset bridges a critical gap in speech technology for underrepresented languages, offering a reliable foundation for future research and applications in Balti speech processing.
DOI: 10.5281/zenodo.15497355
title: Balti-Tamko: The first Balti spoken words dataset

description: Balti Speech Dataset

This dataset comprises 10,394 high-quality voice recordings capturing approximately 500 distinct isolated Balti words, primarily nouns. The recordings were collected from 39 native Balti speakers representing all five geographical regions of Baltistan in the Gilgit-Baltistan territory of Pakistan. Each audio sample is accompanied by its corresponding text transcription, ensuring robust training capabilities for Automatic Speech Recognition (ASR) systems.

ASR Training Experiments

The dataset has been rigorously evaluated through two primary training methodologies:





Training from Scratch





Implemented using GMM-HMM and TDNN architectures via the Kaldi toolkit.






Fine-Tuning Pre-Trained Models





Leveraged OpenAI’s Whisper models, fully fine-tuned to optimize performance for Balti speech recognition.





Performance & Applications

The experiments demonstrate high accuracy in isolated Balti word recognition, making this dataset a valuable resource for:





Low-resource language ASR development




Linguistic research on the Balti language




Preservation and digitization of regional dialects



This dataset bridges a critical gap in speech technology for underrepresented languages, offering a reliable foundation for future research and applications in Balti speech processing.
DOI: 10.15468/dl.jap7e2
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.84015 -52.36192,-68.96517 -52.68659,-68.43764 -52.79551,-68.34063 -52.4986,-68.30042 -52.37495,-68.56455 -52.34179,-68.79769 -52.33661,-68.84015 -52.36192))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NE",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 136 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038890-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peareb
title: Occurrence Download

description: A dataset containing 1469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes fodiens (Geoffroy, 1785)"
 ]
}

 The dataset includes 1469 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038889-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d969wc
title: Occurrence Download

description: A dataset containing 976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((1.94147 48.57712,2.97268 48.57712,2.97268 49.07205,1.94147 49.07205,1.94147 48.57712))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psittacula krameri (Scopoli, 1769)"
 ]
}

 The dataset includes 976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038891-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.29304902
title: Supplementary information files for "Effective UAV-aided asynchronous decentralized federated learning with distributed, adaptive and energy-aware gradient sparsification"

description: Supplementary files for article "Effective UAV-aided asynchronous decentralized federated learning with distributed, adaptive and energy-aware gradient sparsification"<br><br>We consider decentralized federated learning (DFL) in unmanned aerial vehicle (UAV) networks where UAVs collaboratively train their machine learning (ML) models in a serverless peer-to-peer manner without sharing local data. We focus on three challenges affecting the performance and feasibility of UAV-aided DFL: i) communication inefficiency, ii) dynamics, heterogeneity and energy constraints of UAV networks, and iii) high synchronization overheads. To address these challenges, we propose an asynchronous DFL (A-DFL) model for UAV networks and design a novel distributed, adaptive and energy-aware model compression method based on the gradient sparsification. In this method, UAVs communicate asynchronously and apply the time-varying and non-identical compression parameters to adjust to a dynamic, heterogeneous environment. This reduces synchronization overheads and improves the communication efficiency given the strict battery constraints of UAVs. We show that our method can be formulated as a Markov potential game where the UAVs act as the players which decide on their compression parameters and the number of training data samples used for model updates. We prove that our game admits a dominant pure-strategy Nash equilibrium (NE) that maximizes its potential function and develop a new sparsified A-DFL algorithm enabling every UAV to reach its dominant strategy independently, in polynomial time. We then prove that the proposed algorithm converges to the Pareto-optimal NE representing the most efficient solution of our game. Using extensive simulations, we verify that our algorithm outperforms the state-of-the-art methods in terms of the key evaluation metrics of DFL.<br><br>© IEEE, All rights reserved.
DOI: 10.17028/rd.lboro.29304902.v1
title: Supplementary information files for "Effective UAV-aided asynchronous decentralized federated learning with distributed, adaptive and energy-aware gradient sparsification"

description: Supplementary files for article "Effective UAV-aided asynchronous decentralized federated learning with distributed, adaptive and energy-aware gradient sparsification"<br><br>We consider decentralized federated learning (DFL) in unmanned aerial vehicle (UAV) networks where UAVs collaboratively train their machine learning (ML) models in a serverless peer-to-peer manner without sharing local data. We focus on three challenges affecting the performance and feasibility of UAV-aided DFL: i) communication inefficiency, ii) dynamics, heterogeneity and energy constraints of UAV networks, and iii) high synchronization overheads. To address these challenges, we propose an asynchronous DFL (A-DFL) model for UAV networks and design a novel distributed, adaptive and energy-aware model compression method based on the gradient sparsification. In this method, UAVs communicate asynchronously and apply the time-varying and non-identical compression parameters to adjust to a dynamic, heterogeneous environment. This reduces synchronization overheads and improves the communication efficiency given the strict battery constraints of UAVs. We show that our method can be formulated as a Markov potential game where the UAVs act as the players which decide on their compression parameters and the number of training data samples used for model updates. We prove that our game admits a dominant pure-strategy Nash equilibrium (NE) that maximizes its potential function and develop a new sparsified A-DFL algorithm enabling every UAV to reach its dominant strategy independently, in polynomial time. We then prove that the proposed algorithm converges to the Pareto-optimal NE representing the most efficient solution of our game. Using extensive simulations, we verify that our algorithm outperforms the state-of-the-art methods in terms of the key evaluation metrics of DFL.<br><br>© IEEE, All rights reserved.
DOI: 10.15468/dl.qpvx45
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletes halophilus Verhoeff, 1944"
 ]
}

 The dataset includes 924 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038892-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7bspx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adlafia bryophila (J.B.Petersen) Gerd Moser, Lange-Bertalot & D.Metzeltin, 1998",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038893-250525065834625/datasets/export for details.
DOI: 10.15468/dl.awp85x
title: Occurrence Download

description: A dataset containing 103105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pentanema squarrosum (L.) D.Gut.Larr., Santos-Vicente, Anderb., E.Rico & M.M.Mart.Ort.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 103105 records from 1007 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038868-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jejx4
title: Occurrence Download

description: A dataset containing 20300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepidomanes (C.Presl) C.Presl"
 ]
}

 The dataset includes 20300 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012689-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqcm6s
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "TaxonKey is Eriocaulon infirmum Steud."
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007605-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.