cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u96sx4
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanus hispanica Ten."
 ]
}

 The dataset includes 120 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021566-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14840304
title: Cd concentration and isotopic composition, along with concentration of total organic carbon (TOC), CaCO3, Al, Fe, Mn, and Th at oligotrophic western Pacific.

description: This dataset are Cd concentration and isotopic compositions, along with concentration of total organic carbon (TOC), CaCO3, Al, Fe, Mn, and Th at oligotrophic western Pacific.
DOI: 10.5281/zenodo.14840305
title: Cd concentration and isotopic composition, along with concentration of total organic carbon (TOC), CaCO3, Al, Fe, Mn, and Th at oligotrophic western Pacific.

description: This dataset are Cd concentration and isotopic compositions, along with concentration of total organic carbon (TOC), CaCO3, Al, Fe, Mn, and Th at oligotrophic western Pacific.
DOI: 10.15468/dl.2bu4mb
title: Occurrence Download

description: A dataset containing 288879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, January, February, March, April, July, August, September, October, November, December)",
 "Year 2019-2019"
 ]
}

 The dataset includes 288879 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021559-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydybnt
title: Occurrence Download

description: A dataset containing 278101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Circus approximans Peale, 1848"
 ]
}

 The dataset includes 278101 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021567-250127130748423/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.28377926
title: Organosulfur compound compositions in fresh Voghiera garlic hydro-alcoholic extract andafter different storage periods (ug/g of fresh matter)

description: Voghiera garlic is an Italian white garlic variety which obtained in 2010 the ProtectedDesignation of Origin. It is widely used for culinary purposes or as an ingredient for supplementproduction due to its phytochemical compositions. The storage conditions seem to be crucial to retainthe high quality of garlic bulbs and their by-products, taking into account the high importance oforganosulfur and phenolic compounds for the bioactive potency of garlic and its shelf-life. Thisstudy aims to examine the effect of storage on the phytochemical composition, biological effects,and shelf-life of Voghiera garlic PDO. In detail, we considered (i) 􀀀4 ?C (industrial storage) for 3, 6,and 9 months; (ii) +4 ?C for 3 months (home conservation), and (iii) 􀀀4 ?C for 3 months, plus +4 ?Cfor another 3 months. We focused our attention on the organosulfur compounds, total condensedtannins, flavonoids, phenolic compounds, and related antioxidant activity changes during the storageperiod. To evaluate the bioactive effects, the Voghiera garlic extracts at different storage conditionswere administered to a breast cancer cell line, while antioxidant and anti-inflammatory activitywas detected using macrophage RAW 264.7 cells. We observed a decrease in sulfur compoundsafter 6 months which correlated to a decrease in bioactive effects, while the number of antioxidantcompounds was stable during the storage period, showing the good effect of refrigerated temperaturein maintaining garlic bulb shelf-life.
DOI: 10.6084/m9.figshare.28377926.v1
title: Organosulfur compound compositions in fresh Voghiera garlic hydro-alcoholic extract andafter different storage periods (ug/g of fresh matter)

description: Voghiera garlic is an Italian white garlic variety which obtained in 2010 the ProtectedDesignation of Origin. It is widely used for culinary purposes or as an ingredient for supplementproduction due to its phytochemical compositions. The storage conditions seem to be crucial to retainthe high quality of garlic bulbs and their by-products, taking into account the high importance oforganosulfur and phenolic compounds for the bioactive potency of garlic and its shelf-life. Thisstudy aims to examine the effect of storage on the phytochemical composition, biological effects,and shelf-life of Voghiera garlic PDO. In detail, we considered (i) 􀀀4 ?C (industrial storage) for 3, 6,and 9 months; (ii) +4 ?C for 3 months (home conservation), and (iii) 􀀀4 ?C for 3 months, plus +4 ?Cfor another 3 months. We focused our attention on the organosulfur compounds, total condensedtannins, flavonoids, phenolic compounds, and related antioxidant activity changes during the storageperiod. To evaluate the bioactive effects, the Voghiera garlic extracts at different storage conditionswere administered to a breast cancer cell line, while antioxidant and anti-inflammatory activitywas detected using macrophage RAW 264.7 cells. We observed a decrease in sulfur compoundsafter 6 months which correlated to a decrease in bioactive effects, while the number of antioxidantcompounds was stable during the storage period, showing the good effect of refrigerated temperaturein maintaining garlic bulb shelf-life.
DOI: 10.15468/dl.58fht6
title: Occurrence Download

description: A dataset containing 1913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Bemisia tabaci (Gennadius, 1889)",
 "Year 2000-2025"
 ]
}

 The dataset includes 1913 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021570-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysn86e
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((29.57402 -2.57201,31.18812 -2.23959,31.97615 0.17504,32.79743 1.69401,32.30813 2.80686,30.80496 3.30776,28.90434 2.1075,27.32026 0.82386,27.51074 -0.93021,27.88544 -2.45635,28.53019 -3.04403,29.57402 -2.57201))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gorilla I.Geoffroy Saint-Hilaire, 1852",
 "Year 2000-2025"
 ]
}

 The dataset includes 610 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021571-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13935863
title: Hydraulic Fracture Propagation, Arrest, and Closure Simulations using PyFrac

description: Description:

This dataset contains simulation results of hydraulic fracture propagation, arrest, and closure using the open-source PyFrac code. The simulations are based on a Cartesian mesh model to capture the fluid-driven fracture dynamics. It provides simulation results generated with PyFrac, an open-source Python-based hydraulic fracture simulator. PyFrac uses the Implicit Level Set Algorithm (ILSA), originally developed by Peirce and Detournay (2008). The dataset includes time-series data on the evolution of fracture radius, pressure, and width in a permeable elastic medium during hydraulic fracturing. Additionally, data on the closure phase of the fracture are included.

The JSON files within the dataset include:



Time: The time series during fracture propagation and closure.

Efficiency: The ratio of fluid inside the fracture to the total injected volume.

Radius: Evolution of fracture radius over time.

p inlet: The net pressure at the injection point over time.

w inlet: The fracture opening at the injection point over time.

Closure Radius (min and mean): Minimum and mean closure radii over time.

wc: Minimum width constraint imposed during fracture closure.

Intersection Slice Data: Horizontal and vertical slices of the fracture width and pressure at different time steps.


These simulations are designed to replicate real-world hydraulic fracturing processes, which are used in resource extraction and geo-energy projects. The simulations provide insights into the fracture’s arrest and recession dynamics as fluid injection ceases.

How to Use the Data:

The data can be analyzed using standard Python libraries like NumPy and Matplotlib. The JSON format is compatible with most data analysis tools. A typical use case is to plot the evolution of fracture radius, pressure, and opening, or study how fracture closure progresses once fluid injection stops.

Related Code:

The simulations are performed using the open-source code PyFrac, available at [Zenodo DOI for PyFrac software]. PyFrac simulates planar hydraulic fractures, integrating fracture mechanics with fluid dynamics using a combination of boundary element methods and finite volume schemes. You can refer to the source code for more details on the algorithms implemented and run additional simulations.

References:

Zia, H., & Lecampion, B. (2020). PyFrac: A planar 3D hydraulic fracture simulator. Computer Physics Communications, 255, 107368. [https://doi.org/10.1016/j.cpc.2020.107368]
DOI: 10.5281/zenodo.13935864
title: Hydraulic Fracture Propagation, Arrest, and Closure Simulations using PyFrac

description: Description:

This dataset contains simulation results of hydraulic fracture propagation, arrest, and closure using the open-source PyFrac code. The simulations are based on a Cartesian mesh model to capture the fluid-driven fracture dynamics. It provides simulation results generated with PyFrac, an open-source Python-based hydraulic fracture simulator. PyFrac uses the Implicit Level Set Algorithm (ILSA), originally developed by Peirce and Detournay (2008). The dataset includes time-series data on the evolution of fracture radius, pressure, and width in a permeable elastic medium during hydraulic fracturing. Additionally, data on the closure phase of the fracture are included.

The JSON files within the dataset include:



Time: The time series during fracture propagation and closure.

Efficiency: The ratio of fluid inside the fracture to the total injected volume.

Radius: Evolution of fracture radius over time.

p inlet: The net pressure at the injection point over time.

w inlet: The fracture opening at the injection point over time.

Closure Radius (min and mean): Minimum and mean closure radii over time.

wc: Minimum width constraint imposed during fracture closure.

Intersection Slice Data: Horizontal and vertical slices of the fracture width and pressure at different time steps.


These simulations are designed to replicate real-world hydraulic fracturing processes, which are used in resource extraction and geo-energy projects. The simulations provide insights into the fracture’s arrest and recession dynamics as fluid injection ceases.

How to Use the Data:

The data can be analyzed using standard Python libraries like NumPy and Matplotlib. The JSON format is compatible with most data analysis tools. A typical use case is to plot the evolution of fracture radius, pressure, and opening, or study how fracture closure progresses once fluid injection stops.

Related Code:

The simulations are performed using the open-source code PyFrac, available at [Zenodo DOI for PyFrac software]. PyFrac simulates planar hydraulic fractures, integrating fracture mechanics with fluid dynamics using a combination of boundary element methods and finite volume schemes. You can refer to the source code for more details on the algorithms implemented and run additional simulations.

References:

Zia, H., & Lecampion, B. (2020). PyFrac: A planar 3D hydraulic fracture simulator. Computer Physics Communications, 255, 107368. [https://doi.org/10.1016/j.cpc.2020.107368]
DOI: 10.15468/dl.qjvdmp
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Costa Rica, Panama, Colombia, Mexico, Guatemala, Honduras, Nicaragua, Ecuador)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pilea auriculata Liebm."
 ]
}

 The dataset includes 436 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021574-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azvjh7
title: Occurrence Download

description: A dataset containing 287485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulmus minor Mill."
 ]
}

 The dataset includes 287485 records from 2401 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021568-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188926.10fu
title: SH0188926.10FU

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/sh0188927.10fu
title: SH0188927.10FU

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/sh0188928.10fu
title: SH0188928.10FU

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/sh0188929.10fu
title: SH0188929.10FU

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/sh0188930.10fu
title: SH0188930.10FU

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/sh0188931.10fu
title: SH0188931.10FU

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/sh0188932.10fu
title: SH0188932.10FU

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/sh0188933.10fu
title: SH0188933.10FU

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/sh0188934.10fu
title: SH0188934.10FU

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.