cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4qpezs
title: Occurrence Download

description: A dataset containing 362665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-01-20",
 "EventDate is less than or equal to 2025-02-19",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 362665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013942-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2xstv
title: Occurrence Download

description: A dataset containing 8393259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.72778 61.09177,-97.59249 61.79345,-99.65623 53.74484,-97.63376 45.24221,-94.45559 38.47313,-84.38452 35.95536,-76.91376 37.39998,-73.52922 44.66436,-72.49735 50.64922,-73.36412 60.63775,-87.72778 61.09177))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 8393259 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013945-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15022722
title: Paper source and code for the article "Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life"

description: This repository contains the code, data, and paper source for our paper "Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life", which explores how exoplanet surveys can test origins-of-life hypotheses by linking biosignature distributions to abiogenesis scenarios.

Using Bayesian modeling and the Bioverse survey simulator, we assess the feasibility of detecting strong evidence for or against the 'UV Threshold Hypothesis' –  a minimum near-ultraviolet (NUV) flux required for abiogenesis – in future biosignature surveys.

 
description: Repository Structure and Key Directoriesoriginsoflife/├── src/│   ├── scripts/       # Python scripts for analysis and plotting│   ├── tex/          # LaTeX source files for the paper│   └── data/         # Input data and results└── README.md         # This file`src/scripts/`analysis and plotting scripts:- `bioverse_pipeline.py`: Generates the datasets for the paper using _Bioverse_- `SEDs.py`: Generates the SEDs used in Appendix A- `bayes_rho-a.py`: Not used in the paper- `detections_uv.py`: plot detections in NUV space- `hz_nuv_evo.py`: plot the evolution of the NUV flux and the HZ- `inhabited-aafo-nuv_thresh.py`: plot the fraction of inhabited planets as a function of the NUV threshold- `inhabited_FGKM.py`: plots simulated transit surveys targeting FGK and M stars- `matplotlibrc`: matplotlib configuration file- `nuv_distribution.py`: plot the distribution of measured maximum NUV irradiance for inhabited and non-inhabited planets in FGK and M stars - `paths.py`: common paths useful for manipulating datasets and generating figures.- `plotstyle.py`: plot style definitions- `powergrid.py`: plot statistical power as a function of threshold NUV flux and abiogenesis rate- `semian_true_evidence.py`: creates plots for the semi-analytical analysis - `surveys_FGKM.py`: creates multi-panel plot of simulated transit surveys targeting FGK and M stars - `utils.py`: utility functions for the analysis`src/tex/`Paper manuscript source files: - `ms.tex`: Main manuscript file`src/data/`Input data and analysis results:- `past-UV.csv`: Median NUV fluxes in the Habitable Zones of K, early M, and late M dwarfs as a function of age from Richey-Yowell et al. (2023) Fig. 11/Table 1.- `pipeline/`: folder to store the datasets generated by `bioverse_pipeline.py`
DOI: 10.5281/zenodo.15022723
title: Paper source and code for the article "Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life"

description: This repository contains the code, data, and paper source for our paper "Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life", which explores how exoplanet surveys can test origins-of-life hypotheses by linking biosignature distributions to abiogenesis scenarios.

Using Bayesian modeling and the Bioverse survey simulator, we assess the feasibility of detecting strong evidence for or against the 'UV Threshold Hypothesis' –  a minimum near-ultraviolet (NUV) flux required for abiogenesis – in future biosignature surveys.

 
description: Repository Structure and Key Directoriesoriginsoflife/├── src/│   ├── scripts/       # Python scripts for analysis and plotting│   ├── tex/          # LaTeX source files for the paper│   └── data/         # Input data and results└── README.md         # This file`src/scripts/`analysis and plotting scripts:- `bioverse_pipeline.py`: Generates the datasets for the paper using _Bioverse_- `SEDs.py`: Generates the SEDs used in Appendix A- `bayes_rho-a.py`: Not used in the paper- `detections_uv.py`: plot detections in NUV space- `hz_nuv_evo.py`: plot the evolution of the NUV flux and the HZ- `inhabited-aafo-nuv_thresh.py`: plot the fraction of inhabited planets as a function of the NUV threshold- `inhabited_FGKM.py`: plots simulated transit surveys targeting FGK and M stars- `matplotlibrc`: matplotlib configuration file- `nuv_distribution.py`: plot the distribution of measured maximum NUV irradiance for inhabited and non-inhabited planets in FGK and M stars - `paths.py`: common paths useful for manipulating datasets and generating figures.- `plotstyle.py`: plot style definitions- `powergrid.py`: plot statistical power as a function of threshold NUV flux and abiogenesis rate- `semian_true_evidence.py`: creates plots for the semi-analytical analysis - `surveys_FGKM.py`: creates multi-panel plot of simulated transit surveys targeting FGK and M stars - `utils.py`: utility functions for the analysis`src/tex/`Paper manuscript source files: - `ms.tex`: Main manuscript file`src/data/`Input data and analysis results:- `past-UV.csv`: Median NUV fluxes in the Habitable Zones of K, early M, and late M dwarfs as a function of age from Richey-Yowell et al. (2023) Fig. 11/Table 1.- `pipeline/`: folder to store the datasets generated by `bioverse_pipeline.py`
DOI: 10.15468/dl.kdhs4y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosaphes flava Kirkaldy, 1902",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013952-250310093411724/datasets/export for details.
DOI: 10.6084/m9.figshare.28612700
title: AMPALAYA LEAVES LOCAL AND WEB

description: BITTER GOURD/AMPALAYA LEAVES LOCAL AND WEB<br>for NPK Deficiency Detection.validated by Department of Agriculture IV-A
DOI: 10.6084/m9.figshare.28612700.v1
title: AMPALAYA LEAVES LOCAL AND WEB

description: BITTER GOURD/AMPALAYA LEAVES LOCAL AND WEB<br>for NPK Deficiency Detection.validated by Department of Agriculture IV-A
DOI: 10.34740/kaggle/dsv/11068203
title: MIRROR Pruned TCGA RNASeq Data
DOI: 10.15468/dl.sgw8fk
title: Occurrence Download

description: A dataset containing 58711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-02-20",
 "EventDate is less than or equal to 2025-03-22",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 58711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013950-250310093411724/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.28612730
title: ML data

description: ML data
DOI: 10.15468/dl.pyq286
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosaphes tokionis (Kuwana, 1902)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013953-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14503518
title: Raw Image Data for Phase Retrieval in Lorentz TEM/STEM

description: The raw data of through-focus series images and off-axis electron holography collected in Lorentz TEM as well as electron pytchography data on the same NiFe magnetic nanowire.  The data accompanies the publication.
DOI: 10.5281/zenodo.14503519
title: Raw Image Data for Phase Retrieval in Lorentz TEM/STEM

description: The raw data of through-focus series images and off-axis electron holography collected in Lorentz TEM as well as electron pytchography data on the same NiFe magnetic nanowire.  The data accompanies the publication.
DOI: 10.15468/dl.hfgyp7
title: Occurrence Download

description: A dataset containing 24950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America, Canada)",
 "Geometry POLYGON((-179.64971 1.69830,-15.16965 1.69830,-15.16965 67.45923,-179.64971 67.45923,-179.64971 1.69830))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Boisea trivittata (Say, 1825)",
 "Year 1949-2025"
 ]
}

 The dataset includes 24950 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013954-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spsdfw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidosaphes pini (Maskell, 1897)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013956-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqrv45
title: Occurrence Download

description: A dataset containing 821570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-822.50873 24.26672,-822.88466 23.6413,-822.99744 22.06239,-821.316 20.89358,-819.57646 21.5395,-818.84852 23.06715,-818.97155 24.41026,-820.77603 24.67683,-822.50873 24.26672))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 821570 records from 889 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013951-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1108635.10fu
title: SH1108635.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108637.10fu
title: SH1108637.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108642.10fu
title: SH1108642.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108643.10fu
title: SH1108643.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108644.10fu
title: SH1108644.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108647.10fu
title: SH1108647.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108650.10fu
title: SH1108650.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108654.10fu
title: SH1108654.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108655.10fu
title: SH1108655.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1108657.10fu
title: SH1108657.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.