cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s9chu2
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is China",
 "Country is Chinese Taipei",
 "Country is Hong Kong"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glehnia littoralis F.Schmidt, 1867"
 ]
}

 The dataset includes 72 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155885-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.abvj7n
title: Occurrence Download

description: A dataset containing 17327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stereolepis gigas Ayres, 1859"
 ]
}

 The dataset includes 17327 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196428-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfwu9j
title: Occurrence Download

description: A dataset containing 1673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Salix laggeri Wimm."
 ]
}

 The dataset includes 1673 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266637-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nky8ol
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.75082 38.8921,-93.8586 38.8921,-93.8586 49.35241,-114.75082 49.35241,-114.75082 38.8921))",
 "HasCoordinate is true",
 "TaxonKey is Acris blanchardi Harper, 1947",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 451 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016106-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4wc9z
title: Occurrence Download

description: A dataset containing 1392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eutrochium Raf.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 1392 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170815-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qq3ad8
title: Occurrence Download

description: A dataset containing 614605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lolium perenne L."
 ]
}

 The dataset includes 614605 records from 1113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216568-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7qvzq
title: Occurrence Download

description: A dataset containing 432768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Blechnaceae"
 ]
}

 The dataset includes 432768 records from 1069 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196454-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmzeuz
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neowerdermannia chilensis Backeb."
 ]
}

 The dataset includes 80 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001244-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x56x3f
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Ramulus mikado (Rehn, 1904)"
 ]
}

 The dataset includes 491 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001245-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfgxs6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe ghibensis Sebsebe & Friis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001246-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pguv4
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nototriche estipulata A.W.Hill ex B.L.Burtt"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001247-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm4qmp
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Morpho helenor Cramer, 1782"
 ]
}

 The dataset includes 583 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001249-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njvbzh
title: Occurrence Download

description: A dataset containing 4091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus grammicus Wiegmann, 1828",
 "Year 2010-2025"
 ]
}

 The dataset includes 4091 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001248-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpmyxv
title: Occurrence Download

description: A dataset containing 490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ramulus mikado (Rehn, 1904)"
 ]
}

 The dataset includes 490 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001250-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15086375
title: SVTopo manuscript source code and images

description: This tarball "SVTopo-Material.tar.gz" contains source code for SVTopo v0.2.0, with an example web page containing complex structural variant images for 7 genomes. The top 3 levels of of the tarball file tree, except PNG image files, are as follows:

SVTopo-Materials/
├── HiFi-SVTopo-0.2.0
│   ├── Cargo.lock
│   ├── Cargo.toml
│   ├── LICENSE-THIRDPARTY.json
│   ├── LICENSE.md
│   ├── SVTopoVz
│   │   ├── MANIFEST.in
│   │   ├── requirements.txt
│   │   ├── setup.cfg
│   │   ├── setup.py
│   │   └── svtopovz
│   ├── docs
│   │   ├── imgs
│   │   ├── result_interpretation.md
│   │   └── user_guide.md
│   ├── readme.md
│   ├── src
│   │   ├── bam_sa_parser.rs
│   │   ├── block_filter.rs
│   │   ├── cli.rs
│   │   ├── cluster_connector.rs
│   │   ├── cluster_finder.rs
│   │   ├── containers.rs
│   │   ├── event_graph_builder.rs
│   │   ├── graph_annotator.rs
│   │   ├── ingester.rs
│   │   ├── main.rs
│   │   ├── result_writer.rs
│   │   └── utils.rs
│   └── test
│       ├── data
│       ├── scripts
│       └── unit_test
└── example_site
    ├── docs
    │   ├── 200080.bed.gz
    │   ├── 200080.json.gz
    │   ├── 200100.bed.gz
    │   ├── 200100.json.gz
    │   ├── HG002.bed.gz
    │   ├── HG002.json.gz
    │   ├── NA12889.bed.gz
    │   ├── NA12889.json.gz
    │   ├── NA12890.bed.gz
    │   ├── NA12890.json.gz
    │   ├── NA12891.bed.gz
    │   ├── NA12891.json.gz
    │   ├── NA12892.bed.gz
    │   ├── NA12892.json.gz
    │   ├── imgs
    │   ├── index.html
    └── readme.md
DOI: 10.5281/zenodo.15086376
title: SVTopo manuscript source code and images

description: This tarball "SVTopo-Material.tar.gz" contains source code for SVTopo v0.2.0, with an example web page containing complex structural variant images for 7 genomes. The top 3 levels of of the tarball file tree, except PNG image files, are as follows:

SVTopo-Materials/
├── HiFi-SVTopo-0.2.0
│   ├── Cargo.lock
│   ├── Cargo.toml
│   ├── LICENSE-THIRDPARTY.json
│   ├── LICENSE.md
│   ├── SVTopoVz
│   │   ├── MANIFEST.in
│   │   ├── requirements.txt
│   │   ├── setup.cfg
│   │   ├── setup.py
│   │   └── svtopovz
│   ├── docs
│   │   ├── imgs
│   │   ├── result_interpretation.md
│   │   └── user_guide.md
│   ├── readme.md
│   ├── src
│   │   ├── bam_sa_parser.rs
│   │   ├── block_filter.rs
│   │   ├── cli.rs
│   │   ├── cluster_connector.rs
│   │   ├── cluster_finder.rs
│   │   ├── containers.rs
│   │   ├── event_graph_builder.rs
│   │   ├── graph_annotator.rs
│   │   ├── ingester.rs
│   │   ├── main.rs
│   │   ├── result_writer.rs
│   │   └── utils.rs
│   └── test
│       ├── data
│       ├── scripts
│       └── unit_test
└── example_site
    ├── docs
    │   ├── 200080.bed.gz
    │   ├── 200080.json.gz
    │   ├── 200100.bed.gz
    │   ├── 200100.json.gz
    │   ├── HG002.bed.gz
    │   ├── HG002.json.gz
    │   ├── NA12889.bed.gz
    │   ├── NA12889.json.gz
    │   ├── NA12890.bed.gz
    │   ├── NA12890.json.gz
    │   ├── NA12891.bed.gz
    │   ├── NA12891.json.gz
    │   ├── NA12892.bed.gz
    │   ├── NA12892.json.gz
    │   ├── imgs
    │   ├── index.html
    └── readme.md
DOI: 10.15468/dl.rywwug
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ombrophytum subterraneum (Aspl.) B.Hansen"
 ]
}

 The dataset includes 42 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001251-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yrpfs
title: Occurrence Download

description: A dataset containing 957812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus corniculatus L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 957812 records from 3909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001242-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqsajw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carduus acanthoides Pall. ex M.Bieb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043367-241126133413365/datasets/export for details.
DOI: 10.15468/dl.kbhq86
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus lehmannii (Schauer) Benth."
 ]
}

 The dataset includes 639 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043368-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5727yw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stramonium datura Noronha"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043369-241126133413365/datasets/export for details.
DOI: 10.15468/dl.npgtdk
title: Occurrence Download

description: A dataset containing 1409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenobrachius leucopsarus (Eigenmann & Eigenmann, 1890)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 1409 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043370-241126133413365/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.27873186.v1
title: Supplementary Material for: Metastatic Patterns: Insights from Japanese Pathological Autopsy Registry Analysis

description: Introduction: Understanding the metastatic patterns is crucial for the treatment of malignancies. This study aimed to identify the characteristic organ metastases of primary malignancies, including rare malignancies, and classify them according to their metastatic patterns.
Methods: We extracted data on primary malignancies and organ metastases from the Annual of Pathological Autopsy Cases in Japan recorded in 1993–2021. Autopsy findings of the primary and metastatic organs in patients with malignancy were recorded on an organ–by–organ basis. The metastatic frequency (number of metastases per autopsy) and the proportion (percentage of organs with metastases out of the total in a primary malignancy) for 48 organ metastasis sites across 76 primary malignancies were calculated. Metastatic patterns were classified into hierarchical and non-hierarchical clustering classifications based on the standard proportion of organ metastases.
Results: A total of 332,195 autopsy cases and 810,206 organ metastases were analyzed. The metastatic frequency of all malignancies was 2.44. Malignancies of the placenta, eye, and ovary showed a higher propensity for metastasis, whereas central nervous system malignancies showed a lower tendency. Metastasis site was a characteristic of each malignancy, with a particularly high proportion of lung metastasis in parathyroid malignancy and bone metastasis in prostate malignancy. In the hierarchical and non–hierarchical cluster methods, brain, lung, liver, bone, peritoneum, and hematolymphoid organ were key metastatic sites, and this factor divided primary malignancies into seven categories. The unweighted kappa coefficient comparing the two classification methods was 0.84 (95% confidence interval: 0.75–0.93). The proportion of metastatic organs was influenced by anatomical location and/or organ specificity of the primary malignancies.
Conclusion: Our study provides a comprehensive overview of the patterns and frequencies of metastatic organ sites associated with 76 primary malignancies. Our findings will provide useful information for future research and clinical practice.
DOI: 10.6084/m9.figshare.27873186
title: Supplementary Material for: Metastatic Patterns: Insights from Japanese Pathological Autopsy Registry Analysis

description: Introduction: Understanding the metastatic patterns is crucial for the treatment of malignancies. This study aimed to identify the characteristic organ metastases of primary malignancies, including rare malignancies, and classify them according to their metastatic patterns.
Methods: We extracted data on primary malignancies and organ metastases from the Annual of Pathological Autopsy Cases in Japan recorded in 1993–2021. Autopsy findings of the primary and metastatic organs in patients with malignancy were recorded on an organ–by–organ basis. The metastatic frequency (number of metastases per autopsy) and the proportion (percentage of organs with metastases out of the total in a primary malignancy) for 48 organ metastasis sites across 76 primary malignancies were calculated. Metastatic patterns were classified into hierarchical and non-hierarchical clustering classifications based on the standard proportion of organ metastases.
Results: A total of 332,195 autopsy cases and 810,206 organ metastases were analyzed. The metastatic frequency of all malignancies was 2.44. Malignancies of the placenta, eye, and ovary showed a higher propensity for metastasis, whereas central nervous system malignancies showed a lower tendency. Metastasis site was a characteristic of each malignancy, with a particularly high proportion of lung metastasis in parathyroid malignancy and bone metastasis in prostate malignancy. In the hierarchical and non–hierarchical cluster methods, brain, lung, liver, bone, peritoneum, and hematolymphoid organ were key metastatic sites, and this factor divided primary malignancies into seven categories. The unweighted kappa coefficient comparing the two classification methods was 0.84 (95% confidence interval: 0.75–0.93). The proportion of metastatic organs was influenced by anatomical location and/or organ specificity of the primary malignancies.
Conclusion: Our study provides a comprehensive overview of the patterns and frequencies of metastatic organ sites associated with 76 primary malignancies. Our findings will provide useful information for future research and clinical practice.
DOI: 10.6084/m9.figshare.27873186.v2
title: Supplementary Material for: Metastatic Patterns: Insights from Japanese Pathological Autopsy Registry Analysis

description: Introduction: Understanding the metastatic patterns is crucial for the treatment of malignancies. This study aimed to identify the characteristic organ metastases of primary malignancies, including rare malignancies, and classify them according to their metastatic patterns.
Methods: We extracted data on primary malignancies and organ metastases from the Annual of Pathological Autopsy Cases in Japan recorded in 1993–2021. Autopsy findings of the primary and metastatic organs in patients with malignancy were recorded on an organ–by–organ basis. The metastatic frequency (number of metastases per autopsy) and the proportion (percentage of organs with metastases out of the total in a primary malignancy) for 48 organ metastasis sites across 76 primary malignancies were calculated. Metastatic patterns were classified into hierarchical and non-hierarchical clustering classifications based on the standard proportion of organ metastases.
Results: A total of 332,195 autopsy cases and 810,206 organ metastases were analyzed. The metastatic frequency of all malignancies was 2.44. Malignancies of the placenta, eye, and ovary showed a higher propensity for metastasis, whereas central nervous system malignancies showed a lower tendency. Metastasis site was a characteristic of each malignancy, with a particularly high proportion of lung metastasis in parathyroid malignancy and bone metastasis in prostate malignancy. In the hierarchical and non–hierarchical cluster methods, brain, lung, liver, bone, peritoneum, and hematolymphoid organ were key metastatic sites, and this factor divided primary malignancies into seven categories. The unweighted kappa coefficient comparing the two classification methods was 0.84 (95% confidence interval: 0.75–0.93). The proportion of metastatic organs was influenced by anatomical location and/or organ specificity of the primary malignancies.
Conclusion: Our study provides a comprehensive overview of the patterns and frequencies of metastatic organ sites associated with 76 primary malignancies. Our findings will provide useful information for future research and clinical practice.
DOI: 10.15468/dl.rf9y63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carduus acanthoides Pall."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043373-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14184659
title: Code repository for 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model'

description: This repository is for the paper 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model' by Adrienn Pataki. It is associated with manuscript number #AAS58647.

 

The repository contains Python code for fitting coasting cosmological models and the flat ΛCDM model to the Type Ia Supernova (SNIa) and Quasar (QSO) datasets. Detailed descriptions and usage instructions are provided within the code. For Cosmic Chronometer (CC) tests, we utilized the emcee code available at https://gitlab.com/mmoresco/CCcovariance, which produces results consistent with our implementation of the CC data analysis.

 

Additionally, the repository includes PDF files that present the fitting results as corner plots, illustrating the posterior distributions of the fitted parameters. Corner plots for CC fits are also provided. These plots display the projections of the MCMC chain in one- and two-dimensional parameter spaces. The 1D histograms show the median of the posterior parameter distributions, along with the 1σ uncertainties represented by the 16th and 84th percentiles. In the 2D distribution panels, contours are plotted at 0.5σ, 1σ, 1.5σ, and 2σ levels.

 

Corresponding author of the article: Peter Raffai, peter.raffai@ttk.elte.huCorresponding author of the repository: Adrienn Pataki, patakia@student.elte.hu
DOI: 10.5281/zenodo.14184660
title: Code repository for 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model'

description: This repository is for the paper 'Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat ΛCDM model' by Adrienn Pataki. It is associated with manuscript number #AAS58647.

 

The repository contains Python code for fitting coasting cosmological models and the flat ΛCDM model to the Type Ia Supernova (SNIa) and Quasar (QSO) datasets. Detailed descriptions and usage instructions are provided within the code. For Cosmic Chronometer (CC) tests, we utilized the emcee code available at https://gitlab.com/mmoresco/CCcovariance, which produces results consistent with our implementation of the CC data analysis.

 

Additionally, the repository includes PDF files that present the fitting results as corner plots, illustrating the posterior distributions of the fitted parameters. Corner plots for CC fits are also provided. These plots display the projections of the MCMC chain in one- and two-dimensional parameter spaces. The 1D histograms show the median of the posterior parameter distributions, along with the 1σ uncertainties represented by the 16th and 84th percentiles. In the 2D distribution panels, contours are plotted at 0.5σ, 1σ, 1.5σ, and 2σ levels.

 

Corresponding author of the article: Peter Raffai, peter.raffai@ttk.elte.huCorresponding author of the repository: Adrienn Pataki, patakia@student.elte.hu