cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29965109
title: <b>Perspectives of Oil Spill Incident Near Mauritius</b>

description: This study focuses on the MV Wakashio oil spill, where a Japanese-controlled bulk carrier grounded on a coral reef near Mauritius. A nationwide survey of 1,400 Japanese respondents was conducted using systematic sampling.
DOI: 10.6084/m9.figshare.29965109.v1
title: <b>Perspectives of Oil Spill Incident Near Mauritius</b>

description: This study focuses on the MV Wakashio oil spill, where a Japanese-controlled bulk carrier grounded on a coral reef near Mauritius. A nationwide survey of 1,400 Japanese respondents was conducted using systematic sampling.
DOI: 10.15468/dl.uwb9ca
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030808-250811113504898/datasets/export for details.
DOI: 10.15468/dl.fxumbc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030810-250811113504898/datasets/export for details.
DOI: 10.15468/dl.shq5rr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparus aurata",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030809-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.29964981
title: Machine learning-based prediction of tubulointerstitial lesions in diabetic kidney disease: a multicenter validation study

description: Tubulointerstitial lesions (TILs) play a crucial role in the progression of diabetic kidney disease (DKD). Current clinical prediction methods rely heavily on invasive biopsies and fall short of providing a comprehensive, multidimensional assessment. This multicenter study, conducted from 2010 to 2024, involved patients with biopsy-confirmed DKD. We employed logistic regression and the Least Absolute Shrinkage and Selection Operator (LASSO) with 10-fold cross-validation to identify key predictive indicators. A machine learning-based nomogram was developed and model performance is evaluated by discrimination, calibration, and decision curve analysis (DCA). A total of 337 were divided into training (<i>n</i> = 180), internal validation (<i>n</i> = 78), and external validation (<i>n</i> = 79) cohorts. Multivariate analysis confirmed SCr (OR = 1.02, 95% confidence interval [CI]:1.01–1.03), HDL (OR = 0.68, 95% CI: 0.52–0.85), and severe glomerular hyperplasia (OR = 9.79, 95% CI: 1.41–80.89) as independent predictors. The AUC for the training, internal validation, and external validation cohorts were 0.93, 0.86, and 0.94, respectively, indicating high calibration accuracy (<i>p</i> &gt; 0.05). DCA demonstrated a 75% higher net clinical benefit compared to traditional models at risk thresholds exceeding 18. In order to avoid repeated renal biopsy puncture, by integrating kidney function, metabolic markers, and pathological features, the model provides more accurate diagnosis and treatment suggestions for predicting the risk of TILs and further deterioration of renal function. This facilitates the early identification of high-risk patients and supports targeted interventions, marking a paradigm shift toward precision nephrology in the management of DKD.
DOI: 10.6084/m9.figshare.29964981.v1
title: Machine learning-based prediction of tubulointerstitial lesions in diabetic kidney disease: a multicenter validation study

description: Tubulointerstitial lesions (TILs) play a crucial role in the progression of diabetic kidney disease (DKD). Current clinical prediction methods rely heavily on invasive biopsies and fall short of providing a comprehensive, multidimensional assessment. This multicenter study, conducted from 2010 to 2024, involved patients with biopsy-confirmed DKD. We employed logistic regression and the Least Absolute Shrinkage and Selection Operator (LASSO) with 10-fold cross-validation to identify key predictive indicators. A machine learning-based nomogram was developed and model performance is evaluated by discrimination, calibration, and decision curve analysis (DCA). A total of 337 were divided into training (<i>n</i> = 180), internal validation (<i>n</i> = 78), and external validation (<i>n</i> = 79) cohorts. Multivariate analysis confirmed SCr (OR = 1.02, 95% confidence interval [CI]:1.01–1.03), HDL (OR = 0.68, 95% CI: 0.52–0.85), and severe glomerular hyperplasia (OR = 9.79, 95% CI: 1.41–80.89) as independent predictors. The AUC for the training, internal validation, and external validation cohorts were 0.93, 0.86, and 0.94, respectively, indicating high calibration accuracy (<i>p</i> &gt; 0.05). DCA demonstrated a 75% higher net clinical benefit compared to traditional models at risk thresholds exceeding 18. In order to avoid repeated renal biopsy puncture, by integrating kidney function, metabolic markers, and pathological features, the model provides more accurate diagnosis and treatment suggestions for predicting the risk of TILs and further deterioration of renal function. This facilitates the early identification of high-risk patients and supports targeted interventions, marking a paradigm shift toward precision nephrology in the management of DKD.
DOI: 10.15468/dl.uc8htu
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus cachiraensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030812-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8tpay
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030815-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpzbw5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030816-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16924234
title: Open data Penerapan Artifical Intelegence sebagai Stimulus  Niat Beli Konsumen Dalam Pemasaran Media Sosial
DOI: 10.5281/zenodo.16924235
title: Open data Penerapan Artifical Intelegence sebagai Stimulus  Niat Beli Konsumen Dalam Pemasaran Media Sosial
DOI: 10.15468/dl.y7gnhx
title: Occurrence Download

description: A dataset containing 782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 782 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030813-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52uw93
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salmo salar",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030814-250811113504898/datasets/export for details.
DOI: 10.15468/dl.2xj6qf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030817-250811113504898/datasets/export for details.
DOI: 10.15468/dl.uxv44x
title: Occurrence Download

description: A dataset containing 367107 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SeasonWatch - Tree Phenology Dataset (India)"
 ]
}

 The dataset includes 367107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030805-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu9w9f
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odorrana margaretae"
 ]
}

 The dataset includes 337 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030818-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fenz8k
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archolaemus luciae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030819-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ct2jcx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030821-250811113504898/datasets/export for details.
DOI: 10.15468/dl.nqjgjx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias gariepinus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030820-250811113504898/datasets/export for details.
DOI: 10.15468/dl.frdz3s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias gariepinus",
 "Country is Bhutan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030823-250811113504898/datasets/export for details.
DOI: 10.15468/dl.q7trnn
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 241 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030822-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6t3kyw
title: Occurrence Download

description: A dataset containing 4141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grus nigricollis"
 ]
}

 The dataset includes 4141 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030824-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7heaut
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-74.42762 4.79447,-74.43804 4.78183,-74.44246 4.76923,-74.44175 4.74648,-74.43698 4.72435,-74.43242 4.71287,-74.42401 4.69968,-74.41557 4.69093,-74.41091 4.68009,-74.40366 4.66903,-74.38519 4.65307,-74.37876 4.64436,-74.3673 4.61879,-74.35323 4.60342,-74.34203 4.59568,-74.32123 4.58732,-74.30827 4.585,-74.29401 4.58643,-74.28195 4.59163,-74.27189 4.60008,-74.26469 4.61109,-74.26094 4.62371,-74.26098 4.63688,-74.28143 4.6971,-74.29009 4.70943,-74.30291 4.7208,-74.31079 4.725,-74.31323 4.7364,-74.31884 4.7486,-74.3332 4.76396,-74.32825 4.79322,-74.32959 4.80654,-74.33476 4.81888,-74.34331 4.82917,-74.35448 4.83649,-74.3673 4.84022,-74.38525 4.83905,-74.39962 4.83307,-74.41139 4.82359,-74.42065 4.81106,-74.42762 4.79447)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030826-250811113504898/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.28029278.v1
title: Phased diploid genome assemblies for <i>Urtica dioica</i> ssp. <i>dioica</i>

description: Haplotype-resolved chromosome-scale genome assemblies (Haplotype 1 (H1) and Haplotype 2 (H2) in .fasta format), assembled using PacBio HiFi + Hi-C. This assembly is for a female individual of stinging nettle (<i>Urtica dioica</i> ssp. <i>dioica</i>) associated with the following paper: preprint https://www.biorxiv.org/content/10.1101/2024.11.21.624787v1Note: Due to their requirements, the assemblies deposited on NCBI (PRJNA663211; assembly accession ID to be assigned soon) are trimmed to remove any contigs &lt;200 bp in length. The ones posted here have all the small contigs that were presented in the manuscript.
DOI: 10.15468/dl.xcmhsg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beroe ovata",
 "Country is Moldova, Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030827-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jsu2s6
title: Occurrence Download

description: A dataset containing 30386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Odontites vernus serotinus"
 ]
}

 The dataset includes 30386 records from 460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030825-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdjhzm
title: Occurrence Download

description: A dataset containing 656050 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands)"
 ]
}

 The dataset includes 656050 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002437-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udk3uj
title: Occurrence Download

description: A dataset containing 3639 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Small-eared shrews (Mammalia, Cryptotis) in the Neotropical region"
 ]
}

 The dataset includes 3639 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012873-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2t3azh
title: Occurrence Download

description: A dataset containing 143759 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversity data from Miljolare.no"
 ]
}

 The dataset includes 143759 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c7p2x
title: Occurrence Download

description: A dataset listing the 1748 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is incertae sedis"
 ]
}

 The dataset's 1748 records were derived from 5494 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012009-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnsr7y
title: Occurrence Download

description: A dataset containing 2761 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.8188 25.49913, -110.6688 25.49913, -110.6688 25.64913, -110.8188 25.64913, -110.8188 25.49913))"
 ]
}

 The dataset includes 2761 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035590-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4payy
title: Occurrence Download

description: A dataset containing 535642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "TaxonKey is Carpinus betulus"
 ]
}

 The dataset includes 535642 records from 2236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035561-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12670697
title: DWUG DE Resampled: Diachronic Word Usage Graphs for German

description: This data collection contains diachronic Word Usage Graphs (WUGs) for German. Uses were sampled for the target words from the DWUG DE dataset and from the same source corpora. DWUG DE Resampled can thus be seen as a small-scale replication of DWUG DE. Find a description of the data format, code to process the data and further datasets on the WUGsite.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
description: Paper version.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.12670698
title: DWUG DE Resampled: Diachronic Word Usage Graphs for German

description: This data collection contains diachronic Word Usage Graphs (WUGs) for German. Uses were sampled for the target words from the DWUG DE dataset and from the same source corpora. DWUG DE Resampled can thus be seen as a small-scale replication of DWUG DE. Find a description of the data format, code to process the data and further datasets on the WUGsite.

Please find more information on the provided data in the papers referenced below.

Reference

Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
description: Paper version.

Republication and redistribution is prohibited.
DOI: 10.5281/zenodo.18225668
title: Dataset and Code for Engineering Hypergraph $b$-Matching Algorithms

description: This data set contains the weighted hypergraphs and graphs used in experiments, along side the results file for the paper and code:

Engineering Hypergraph $b$-Matching Algorithms

by Ernestine Großmann, Felix Joos, Henrik Reinstädtler and Christian Schulz

The data set contains 488 medium sized hypergraphs, originally collected by Gottesbürren et al. [1]. The hypergraphs were augmented with edge-weights from the range of [1,100]. Vertex weights were assigned uniform at random between 1 and the vertex-degree.

The results files contain the experimental results used in the paper along side with the plotting definition file.

The code is provided under MIT-License.

[1] **Scalable High-Quality Hypergraph Partitioning** *Lars Gottesbüren, Tobias Heuer, Nikolai Maas, Peter Sanders, and Sebastian Schlag* (2023).  Available at: [https://doi.org/10.48550/arXiv.2303.17679](https://doi.org/10.48550/arXiv.2303.17679)
DOI: 10.5281/zenodo.18225669
title: Dataset and Code for Engineering Hypergraph $b$-Matching Algorithms

description: This data set contains the weighted hypergraphs and graphs used in experiments, along side the results file for the paper and code:

Engineering Hypergraph $b$-Matching Algorithms

by Ernestine Großmann, Felix Joos, Henrik Reinstädtler and Christian Schulz

The data set contains 488 medium sized hypergraphs, originally collected by Gottesbürren et al. [1]. The hypergraphs were augmented with edge-weights from the range of [1,100]. Vertex weights were assigned uniform at random between 1 and the vertex-degree.

The results files contain the experimental results used in the paper along side with the plotting definition file.

The code is provided under MIT-License.

[1] **Scalable High-Quality Hypergraph Partitioning** *Lars Gottesbüren, Tobias Heuer, Nikolai Maas, Peter Sanders, and Sebastian Schlag* (2023).  Available at: [https://doi.org/10.48550/arXiv.2303.17679](https://doi.org/10.48550/arXiv.2303.17679)
DOI: 10.15468/dl.yxz6y9
title: Occurrence Download

description: A dataset containing 4856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen, Material citation, Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amblypygi"
 ]
}

 The dataset includes 4856 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010919-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.