cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0181254.10fu
title: SH0181254.10FU

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: 10.25574/28135
title: Chandra X-ray Observatory ObsId 28135

description: Chandra Identification of High-Energy INTEGRAL sources in the Galactic Plane
DOI: 10.34894/pewcfe
title: Slovakia, 1994-2014

description: Short event description of labour conflicts collected from newspapers by Karmína.
DOI: 10.15156/bio/sh0181255.10fu
title: SH0181255.10FU

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/sh0181256.10fu
title: SH0181256.10FU

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/sh0181257.10fu
title: SH0181257.10FU

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: 10.25574/28711
title: Chandra X-ray Observatory ObsId 28711

description: Electron heating mechanism behind the equatorial shock
DOI: 10.13140/rg.2.2.20062.50245
title: MARKERS of orbit atom
DOI: 10.15156/bio/sh0181258.10fu
title: SH0181258.10FU

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: 10.15468/dl.5jwgus
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Campynemataceae)"
 ]
}

 The dataset includes 517 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025021-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3256c
title: Occurrence Download

description: A dataset containing 3002167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Campanulaceae)"
 ]
}

 The dataset includes 3002167 records from 3715 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024957-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17206461
title: Polyaromatic Hydrocarbon (PAHs) Concentration and Peak intensities Data

description: This data set is published as Wildfire, ecosystem, and climate interactions in the Early Triassic in Communication Earth and Enivronment (https://doi.org/10.1038/s43247-025-02789-x).

Wildfires are an important component of Earth system dynamics particularly with respect to nutrient- and carbon cycling. The  occurrence of wildfires is linked to complex feedbacks between climate, vegetation and landscape structure. It is therefore crucial to understand wildfire activity in the context of (paleo-)climatic and environmental change. In this study, we explore wildfire activity during the Early Triassic (Smithian and Spathian substages, ca. 250 million years ago) – a time interval characterized by large global carbon cycle perturbation, climatic oscillations, prominent terrestrial vegetation succession, along with radiation and extinction pulses – using polyaromatic hydrocarbon (PAH) biomarkers, which serve as a robust indicator of fire in sedimentary geologic archives. PAH abundances in shales from Spitsbergen show a prominent increase after the Smithian-Spathian boundary. Further, diagnostic ratios of PAHs suggest that these compounds were derived from relatively unaltered biomass as opposed to soil erosion and petrogenic carbon inputs or coal combustion vis-à-vis a coincidental Siberian Trap volcanism. Instead, our data indicates that as sea surface temperatures decline during the late Smithian, the hydrological cycle becomes less intense and large-scale changing vegetation successions become amenable to wildfire activity. From our results, we hypothesize that the change in regional wildfire regime would have exerted influence on other regional biogeochemical cycles, especially pyrogenic carbon, which in turn may have impacted long-term carbon sequestration dynamics. The coupled behavior of this water-vegetation-wildfire system amid key perturbations in Earth’s history provides new insights into imminent future consequences of human activities and the related impacts on climate.
DOI: 10.5281/zenodo.17206462
title: Polyaromatic Hydrocarbon (PAHs) Concentration and Peak intensities Data

description: This data set is published as Wildfire, ecosystem, and climate interactions in the Early Triassic in Communication Earth and Enivronment (https://doi.org/10.1038/s43247-025-02789-x).

Wildfires are an important component of Earth system dynamics particularly with respect to nutrient- and carbon cycling. The  occurrence of wildfires is linked to complex feedbacks between climate, vegetation and landscape structure. It is therefore crucial to understand wildfire activity in the context of (paleo-)climatic and environmental change. In this study, we explore wildfire activity during the Early Triassic (Smithian and Spathian substages, ca. 250 million years ago) – a time interval characterized by large global carbon cycle perturbation, climatic oscillations, prominent terrestrial vegetation succession, along with radiation and extinction pulses – using polyaromatic hydrocarbon (PAH) biomarkers, which serve as a robust indicator of fire in sedimentary geologic archives. PAH abundances in shales from Spitsbergen show a prominent increase after the Smithian-Spathian boundary. Further, diagnostic ratios of PAHs suggest that these compounds were derived from relatively unaltered biomass as opposed to soil erosion and petrogenic carbon inputs or coal combustion vis-à-vis a coincidental Siberian Trap volcanism. Instead, our data indicates that as sea surface temperatures decline during the late Smithian, the hydrological cycle becomes less intense and large-scale changing vegetation successions become amenable to wildfire activity. From our results, we hypothesize that the change in regional wildfire regime would have exerted influence on other regional biogeochemical cycles, especially pyrogenic carbon, which in turn may have impacted long-term carbon sequestration dynamics. The coupled behavior of this water-vegetation-wildfire system amid key perturbations in Earth’s history provides new insights into imminent future consequences of human activities and the related impacts on climate.
DOI: 10.15468/dl.tpw946
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron liliiflorum"
 ]
}

 The dataset includes 255 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018853-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17206826
title: PyCOMPSs Matrix Multiplication, out-of-core using files, reproducibility example

description: **Name:** Matrix multiplication with Files, reproducibility example  
**Contact Person**: support-compss@bsc.es  
**Access Level**: public  
**License Agreement**: Apache2  
**Platform**: COMPSs  

# Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.

If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements of the rows in A are multiplied with corresponding columns in B.

In this implementation, A and B are square matrices (same number of rows and columns), and so it is the result matrix C. Each matrix is divided in N blocks of M doubles (N hardcoded to 2, and M hardcoded to 8). The multiplication of two blocks is done by a multiply task method with a simple three-nested-loop implementation. When executed with COMPSs, the main program generates N^3^ tasks arranged as N^2^ chains of N tasks in the dependency graph.

# Reproducibility
To reproduce the exact results of this example, follow the instructions at the [Workflow Provenance section at COMPSs User Manual](https://compss-doc.readthedocs.io/en/stable/Sections/05_Tools/04_Workflow_Provenance.html)

# Execution instructions
Usage:
```
runcompss --lang=python src/matmul_files.py inputs_folder/ outputs_folder/
```

where:
* inputs_folder/: Folder where A and B matrices are located
* outputs_folder/: Folder with the resulting C matrix


# Execution Examples
```
runcompss --lang=python src/matmul_files.py inputs/ outputs/
runcompss src/matmul_files.py inputs/ outputs/
python -m pycompss src/matmul_files.py inputs/ outputs/
```

# Build
No build is required
DOI: 10.5281/zenodo.17206827
title: PyCOMPSs Matrix Multiplication, out-of-core using files, reproducibility example

description: **Name:** Matrix multiplication with Files, reproducibility example  
**Contact Person**: support-compss@bsc.es  
**Access Level**: public  
**License Agreement**: Apache2  
**Platform**: COMPSs  

# Description
Matrix multiplication is a binary operation that takes a pair of matrices and produces another matrix.

If A is an n×m matrix and B is an m×p matrix, the result AB of their multiplication is an n×p matrix defined only if the number of columns m in A is equal to the number of rows m in B. When multiplying A and B, the elements of the rows in A are multiplied with corresponding columns in B.

In this implementation, A and B are square matrices (same number of rows and columns), and so it is the result matrix C. Each matrix is divided in N blocks of M doubles (N hardcoded to 2, and M hardcoded to 8). The multiplication of two blocks is done by a multiply task method with a simple three-nested-loop implementation. When executed with COMPSs, the main program generates N^3^ tasks arranged as N^2^ chains of N tasks in the dependency graph.

# Reproducibility
To reproduce the exact results of this example, follow the instructions at the [Workflow Provenance section at COMPSs User Manual](https://compss-doc.readthedocs.io/en/stable/Sections/05_Tools/04_Workflow_Provenance.html)

# Execution instructions
Usage:
```
runcompss --lang=python src/matmul_files.py inputs_folder/ outputs_folder/
```

where:
* inputs_folder/: Folder where A and B matrices are located
* outputs_folder/: Folder with the resulting C matrix


# Execution Examples
```
runcompss --lang=python src/matmul_files.py inputs/ outputs/
runcompss src/matmul_files.py inputs/ outputs/
python -m pycompss src/matmul_files.py inputs/ outputs/
```

# Build
No build is required
DOI: 10.5281/zenodo.16948154
title: Single-cell sequencing reveals unexpected genetic diversity among Bodo spp. flagellates and their bacterial endosymbionts

description: Genome assemblies and protein sets for seven Single Amplified Genomes from uncultured Bodo spp. falgellates and their Holosporales spp. cobionts.
DOI: 10.5281/zenodo.16948155
title: Single-cell sequencing reveals unexpected genetic diversity among Bodo spp. flagellates and their bacterial endosymbionts

description: Genome assemblies and protein sets for seven Single Amplified Genomes from uncultured Bodo spp. falgellates and their Holosporales spp. cobionts.
DOI: 10.15468/dl.8ctrrh
title: Occurrence Download

description: A dataset containing 307 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 one of (Chionodoxa luciliae)"
 ]
}

 The dataset includes 307 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018854-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xfrfc
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron mitriforme"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018857-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17199402
title: Material stock and embodied emissions in residential buildings across Norwegian municipalities

description: This dataset contains estimates of material stock and associated embodied greenhouse gas (GHG) emissions in residential buildings across Norwegian municipalities. The objective was to quantify material composition and related environmental impacts at high spatial resolution to support analyses of resource efficiency and climate policy. The three datasets include values for three main categories: (1) material stock, (2) emissions from material production and (3) emissions from dwelling manufacturing. The data are disaggregated by municipality, building type and construction cohort, enabling detailed assessments of temporal and spatial patterns. Monte Carlo simulations were used to generate uncertainty ranges for all values. The work was conducted as part of a Master’s thesis at Instituto Superior de Agronomia, Universidade de Lisboa.

The datasets are the output of the scripts available on GitHub: https://github.com/DolgayaMaria/material-stock-analysis/tree/main
DOI: 10.5281/zenodo.17199403
title: Material stock and embodied emissions in residential buildings across Norwegian municipalities

description: This dataset contains estimates of material stock and associated embodied greenhouse gas (GHG) emissions in residential buildings across Norwegian municipalities. The objective was to quantify material composition and related environmental impacts at high spatial resolution to support analyses of resource efficiency and climate policy. The three datasets include values for three main categories: (1) material stock, (2) emissions from material production and (3) emissions from dwelling manufacturing. The data are disaggregated by municipality, building type and construction cohort, enabling detailed assessments of temporal and spatial patterns. Monte Carlo simulations were used to generate uncertainty ranges for all values. The work was conducted as part of a Master’s thesis at Instituto Superior de Agronomia, Universidade de Lisboa.

The datasets are the output of the scripts available on GitHub: https://github.com/DolgayaMaria/material-stock-analysis/tree/main
DOI: 10.15468/dl.8yt3xu
title: Occurrence Download

description: A dataset containing 2439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((25.81845 38.62015,25.78086 38.14958,26.1846 38.08694,26.25003 38.44612,26.35444 38.50877,26.16232 38.65913,25.81845 38.62015))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018860-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95jjxz
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemigrapsus sanguineus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018859-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17185799
title: Insights into Water Vapor Uptake by Dry Soils using a Global Eddy Covariance Observation Network

description: Data supporting the manuscript accepted in Global Change Biology.

This repository contains the following datasets:





heatmaps.csv – primary data generated from the original FLUXNET datasets.




texture_template.csv – primary data generated from soil water retention curves published by Hohenbrink et al. (2023).




site_ancillary_sva.csv – primary data derived from freely available satellite products and EC site data.



Result-supporting data used for central conclusions:





classification_metrics.csv – summary of metrics describing the match between heatmap observations and texture template classes.




frequency_duration.csv and frequency_duration_summary.csv – site-level frequency of SVA detection.



Details of the raw data sources are provided in the respective README files. The workflow is illustrated in fig01, which is also the first figure of the accepted Manuscript.
DOI: 10.5281/zenodo.17185798
title: Insights into Water Vapor Uptake by Dry Soils using a Global Eddy Covariance Observation Network

description: Data supporting the manuscript accepted in Global Change Biology.

This repository contains the following datasets:





heatmaps.csv – primary data generated from the original FLUXNET datasets.




texture_template.csv – primary data generated from soil water retention curves published by Hohenbrink et al. (2023).




site_ancillary_sva.csv – primary data derived from freely available satellite products and EC site data.



Result-supporting data used for central conclusions:





classification_metrics.csv – summary of metrics describing the match between heatmap observations and texture template classes.




frequency_duration.csv and frequency_duration_summary.csv – site-level frequency of SVA detection.



Details of the raw data sources are provided in the respective README files. The workflow is illustrated in fig01, which is also the first figure of the accepted Manuscript.
DOI: 10.15468/dl.6y5yk3
title: Occurrence Download

description: A dataset containing 6913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies beshanzuensis, Abies chensiensis, Abies delavayi, Abies fabri, Abies fargesii, Abies firma, Abies forrestii, Abies forrestii, Abies holophylla, Abies nephrolepis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6913 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018861-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.