cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/4fk1-8918
title: "Donate a Cry Corpus (Augmented)"

description: "Quick classification of infant cries is vital to determine the reason for a baby's cry, especially in the first months of the baby's life. This study aims to develop a lightweight TinyML model for rapid classification of infant cries that can be used for resource-constrained, low-power devices. Our contribution lies in achieving good accuracy with minimal model size and suitable performance for tiny devices. We explored architectures including Convolutional Neural Networks (CNNs), Depthwise Separable CNNs (DS-CNNs), and a self-defined Residual Network (ResNet) tailored to be lightweight, unlike standard ResNet models, for resource efficiency. Mel Frequency Cepstral Coefficients (MFCCs) were extracted from cry signals, optimized by varying coefficients and frame lengths. We used two datasets, each with five categories, in our experiments. The datasets used are Baby Chillanto (DB1) and Donate a Cry (DB2) datasets. Each model was trained independently on each dataset in separate experiments. Then each model was converted to TensorFlow Lite and quantized, with the unquantized self-defined ResNet achieving 96.26% and 93.7% accuracy on DB1 and DB2, respectively. After quantization, it maintains accuracy of 94.71% on DB1 and 89% on DB2 with RAM usage under 30 KB, and with a model size of 93 KB. When deploying the quantized model, trained on Baby Chillanto, on a Raspberry Pi, it demonstrated an execution time of 1 second and an inference time of 3.44 milliseconds, balancing accuracy, efficiency and compactness for embedded systems."
DOI: 10.15468/dl.xfxnda
title: Occurrence Download

description: A dataset containing 1964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinolophus arcuatus Peters, 1871"
 ]
}

 The dataset includes 1964 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007533-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13960342
title: Dataset for 'Warmer Oceans may Accelerate the Marine-to-Land Transition of a West Greenland Outlet Glacier'

description: Monthly hydrographic records from 2008-2023, collected from the standard station GF10 (64°36.6N, 51°57.5 W; maximum depth: 576 m) as part of Greenland Climate Research Centre “Long-term standard hydrographic fjord research program”. Note that the date values reflect the last day of each month, not necessarily the date that the measurements were obtained.

Please cite this reference if dataset were used in any way.

Correspondence to John Mortensen at jomo@natur.gl
DOI: 10.5281/zenodo.13960343
title: Dataset for 'Warmer Oceans may Accelerate the Marine-to-Land Transition of a West Greenland Outlet Glacier'

description: Monthly hydrographic records from 2008-2023, collected from the standard station GF10 (64°36.6N, 51°57.5 W; maximum depth: 576 m) as part of Greenland Climate Research Centre “Long-term standard hydrographic fjord research program”. Note that the date values reflect the last day of each month, not necessarily the date that the measurements were obtained.

Please cite this reference if dataset were used in any way.

Correspondence to John Mortensen at jomo@natur.gl
DOI: 10.15468/dl.nkyf3a
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hirudo troctina Johnson, 1816"
 ]
}

 The dataset includes 104 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007534-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpbjf9
title: Occurrence Download

description: A dataset containing 151624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Myrica L."
 ]
}

 The dataset includes 151624 records from 684 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007513-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqg59w
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Stenocrepis mexicana (Chevrolat, 1835)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 123 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007536-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmheaf
title: Occurrence Download

description: A dataset containing 32725 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is KZNM-PINDIP-DIPTATEACH"
 ]
}

 The dataset includes 32725 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007535-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15464848
title: Vzorec 90 Instagram skupnih objav med spletnimi vplivneži in trgovci v Sloveniji

description: Ta datoteka vsebuje podatkovni niz, uporabljen v magistrskem raziskovalnem delu, ki preučuje vključevanje gradnikov znamčne skupnosti v skupnih objavah spletnih vplivnežev v sodelovanju s trgovskimi znamkami na Instagramu v Sloveniji. Vzorec obsega 90 skupnih objav, ki so bile objavljene med decembrom 2024 in februarjem 2025 v sodelovanju s trgovci Lidl Slovenija, Spar Slovenija in Hofer Slovenija.

Za vsako objavo so zabeleženi naslednji podatki:





datum objave,




uporabniško ime spletnega vplivneža,




število sledilcev,




število všečkov in komentarjev,




izračunana stopnja vključenosti (engagement rate),




prisotnost gradnikov znamčne skupnosti (skupno zavedanje, rituali in tradicije, moralna odgovornost),




ocena komunikacijskih praks (osebna naracija, avtentičnost, ton ipd.).



Podatki so bili zbrani ročno in kodirani na podlagi vnaprej določenega analitičnega okvira, skladno z načeli kvalitativne in kvantitativne vsebinske analize.
DOI: 10.5281/zenodo.15464849
title: Vzorec 90 Instagram skupnih objav med spletnimi vplivneži in trgovci v Sloveniji

description: Ta datoteka vsebuje podatkovni niz, uporabljen v magistrskem raziskovalnem delu, ki preučuje vključevanje gradnikov znamčne skupnosti v skupnih objavah spletnih vplivnežev v sodelovanju s trgovskimi znamkami na Instagramu v Sloveniji. Vzorec obsega 90 skupnih objav, ki so bile objavljene med decembrom 2024 in februarjem 2025 v sodelovanju s trgovci Lidl Slovenija, Spar Slovenija in Hofer Slovenija.

Za vsako objavo so zabeleženi naslednji podatki:





datum objave,




uporabniško ime spletnega vplivneža,




število sledilcev,




število všečkov in komentarjev,




izračunana stopnja vključenosti (engagement rate),




prisotnost gradnikov znamčne skupnosti (skupno zavedanje, rituali in tradicije, moralna odgovornost),




ocena komunikacijskih praks (osebna naracija, avtentičnost, ton ipd.).



Podatki so bili zbrani ročno in kodirani na podlagi vnaprej določenega analitičnega okvira, skladno z načeli kvalitativne in kvantitativne vsebinske analize.
DOI: 10.15468/dl.fkutvc
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteropus vampyrus (Linnaeus, 1758)"
 ]
}

 The dataset includes 393 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007537-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j72nex
title: Occurrence Download

description: A dataset containing 15460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Myricaria Desv."
 ]
}

 The dataset includes 15460 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007539-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbvqn8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Diplocheila crossi Will, 1998",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007541-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11873543
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.hsfp5y
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Araujia sericifera Brot.",
 "Year 2019-2024"
 ]
}

 The dataset includes 668 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007542-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj8ecm
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Elaphropus xanthopus (Dejean, 1831)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 261 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007543-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feravv
title: Occurrence Download

description: A dataset containing 182855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "GadmGid is one of (MOZ.6_1, MOZ.2_1, MOZ.3_1)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 182855 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007493-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4msyhp
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((56.24583 -7.193912, 56.28611 -7.193912, 56.28611 -7.110308, 56.24583 -7.110308, 56.24583 -7.193912))"
 ]
}

 The dataset includes 314 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013121-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/28786127
title: From Chaos to Harmony: Addressing Data De-Noising, Complexity and Adaptability in Graph Machine Learning

description: Graph representation learning—especially via graph neural networks (GNNs)—has demonstrated considerable promise in modeling intricate interaction systems, such as social networks and molecular structures. However, the deployment of GNN-based frameworks in industrial settings remains challenging due to the inherent complexity and noise in real-world graph data. This dissertation systematically addresses these challenges by advancing novel methodologies to improve the comprehensiveness and robustness of graph representation learning, with a dual focus on resolving data complexity and denoising across diverse graph-learning scenarios. In addressing graph data denoising, we design auxiliary self-supervised optimization objectives that disentangle noisy topological structures and misinformation while preserving the representational sufficiency of critical graph features. These tasks operate synergistically with primary learning objectives to enhance robustness against data corruption. The efficacy of these techniques is demonstrated through their application to real-world opioid prescription time series data for predicting potential opioid over-prescription. To mitigate data complexity, the study investigates two complementary approaches: (1) multimodal fusion, which employs attentive integration of graph data with features from other modalities, and (2) hierarchical substructure mining, which extracts semantic patterns at multiple granularities to enhance model generalization in demanding contexts. Finally, the dissertation explores the adaptability of graph data in a range of practical applications, including E-commerce demand forecasting and recommendations, to further enhance prediction and reasoning capabilities.
DOI: 10.7274/28786127.v1
title: From Chaos to Harmony: Addressing Data De-Noising, Complexity and Adaptability in Graph Machine Learning

description: Graph representation learning—especially via graph neural networks (GNNs)—has demonstrated considerable promise in modeling intricate interaction systems, such as social networks and molecular structures. However, the deployment of GNN-based frameworks in industrial settings remains challenging due to the inherent complexity and noise in real-world graph data. This dissertation systematically addresses these challenges by advancing novel methodologies to improve the comprehensiveness and robustness of graph representation learning, with a dual focus on resolving data complexity and denoising across diverse graph-learning scenarios. In addressing graph data denoising, we design auxiliary self-supervised optimization objectives that disentangle noisy topological structures and misinformation while preserving the representational sufficiency of critical graph features. These tasks operate synergistically with primary learning objectives to enhance robustness against data corruption. The efficacy of these techniques is demonstrated through their application to real-world opioid prescription time series data for predicting potential opioid over-prescription. To mitigate data complexity, the study investigates two complementary approaches: (1) multimodal fusion, which employs attentive integration of graph data with features from other modalities, and (2) hierarchical substructure mining, which extracts semantic patterns at multiple granularities to enhance model generalization in demanding contexts. Finally, the dissertation explores the adaptability of graph data in a range of practical applications, including E-commerce demand forecasting and recommendations, to further enhance prediction and reasoning capabilities.
DOI: 10.15468/dl.z4893e
title: Occurrence Download

description: A dataset containing 25193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 25193 records from 420 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002761-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ydtdn
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014808-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15314865
title: Computational modelling for improved translation of cardiac inotropic and lusitropic drug effects from rats to humans

description: The dataset in this repository includes experimental measurements (sarcomere length and fluorescence intensity ratio) from unloaded, contracting left ventricular rat cardiomyocytes, as well as simulation results (sarcomere length and intracellular calcium concentration) from calibrated rat and human left ventricular cardiomyocyte models. The experimental data consist of three subsets: dataset #1 was collected at a pacing frequency of 1 Hz; dataset #2 at pacing frequencies of 0.5, 1, and 2 Hz; and dataset #3 at 1 Hz before and after thapsigargin administration at four concentrations. The simulation data were generated as part of the evaluation of the computational drug effect translation approach introduced in the related journal article, using both experimental data (administration of thapsigargin) and synthetic data (administration of 100 virtual drugs).
DOI: 10.5281/zenodo.15314866
title: Computational modelling for improved translation of cardiac inotropic and lusitropic drug effects from rats to humans

description: The dataset in this repository includes experimental measurements (sarcomere length and fluorescence intensity ratio) from unloaded, contracting left ventricular rat cardiomyocytes, as well as simulation results (sarcomere length and intracellular calcium concentration) from calibrated rat and human left ventricular cardiomyocyte models. The experimental data consist of three subsets: dataset #1 was collected at a pacing frequency of 1 Hz; dataset #2 at pacing frequencies of 0.5, 1, and 2 Hz; and dataset #3 at 1 Hz before and after thapsigargin administration at four concentrations. The simulation data were generated as part of the evaluation of the computational drug effect translation approach introduced in the related journal article, using both experimental data (administration of thapsigargin) and synthetic data (administration of 100 virtual drugs).
DOI: 10.3535/jwq-cl4-ch3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4tl-9na-z5p
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gb7-ljw-aev
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d3d-3zw-wvp
title: Palmicellaria bicornis (Busk, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pet-wtl-wck
title: Tyto Billberg, 1828

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/76x-6w1-hve
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sj7-g6e-67s
title: Eucytherura (Eucytherura) Müller, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/plq-d1m-z55
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e3d-z8c-tsl
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qdq-6y8-re2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/46r-l5n-em3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qhf-mh6-5rr
title: Acrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3jj-1ws-eln
title: Isurus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tyj-5f5-bty
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/545-xpa-p7t
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/16j-w61-agg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5y3-w6s-s5n
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0fb-7s5-8aw
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e1x-7yj-psp
title: †Pseudorbitoides trechmanni Douvillé, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m4s-2k1-df5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n7n-dr2-gc1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3wt-zg5-8qf
title: Cythereis (Cythereis) Jones, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fba-6rl-vhj
title: Cucullaea Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8an-4ak-1sw
title: Greenops

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bdj-j6f-evc
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pkl-rqb-82l
title: Cellaria sinuosa (Hassall, 1840)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z1r-595-dhp
title: Aegocrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.