cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1133961.10fu
title: SH1133961.10FU

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/sh1133962.10fu
title: SH1133962.10FU

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/sh1133963.10fu
title: SH1133963.10FU

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/sh1133965.10fu
title: SH1133965.10FU

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/sh1133971.10fu
title: SH1133971.10FU

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: 10.21227/6s6d-1k77
title: "Dataset for \u201cA Data-driven Framework for Identifying Key Technologies and Analyzing Evolutionary Patterns\u201d"

description: "This dataset includes large-scale patent citation and semantic similarity data used in the study \u201cA Data-driven Framework for Identifying Key Technologies and Analyzing Evolutionary Patterns.\u201d It contains 940,369 AI-related patents and 1,709,522 citation relations, along with Sentence-BERT embeddings and preprocessed metadata for graph construction."
DOI: 10.34810/data1767
title: Source code for: A Tutorial on Combining Flexsim with Python for Developing Discrete-Event Simheuristics

description: This code corresponds to a tutorial paper that provides a step-by-step guideline to connect the FlexSim commercial simulator with the popular Python programming language via sockets. Using this type of connection, advanced applications of this software combination could be developed, such as more advanced simheuristics or combinations of simulation with learnheuristics.
description: Python, 3.8
description: FlexSim, 2022.1
DOI: 10.15468/dl.kvsezh
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Opistophthalmus litoralis Lawrence, 1955)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013113-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/926vptgs27
title: Droplet-Gas Interactions in Nanoelectrospray Multiphase Flow and Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets

description: Data here is associated with the unpublished manuscripts "Droplet-Gas Interactions in Nanoelectrospray Multiphase Flow" and "Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets" by Chapman, Kottke, and Fedorov. Research hypotheses, methods, and findings are described in those manuscripts.

A complete set of all COMSOL simulations is too large for this repository, but several are included here. Those simulations are for nanoelectrospray of water with various applied electric potentials, droplet sizes, and liquid mass flowrates (file name indicates these values).

Excel spreadsheets shows data extracted from those simulations and analyzed within the thermodynamic framework discussed in "Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets."
DOI: 10.17632/926vptgs27.1
title: Droplet-Gas Interactions in Nanoelectrospray Multiphase Flow and Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets

description: Data here is associated with the unpublished manuscripts "Droplet-Gas Interactions in Nanoelectrospray Multiphase Flow" and "Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets" by Chapman, Kottke, and Fedorov. Research hypotheses, methods, and findings are described in those manuscripts.

A complete set of all COMSOL simulations is too large for this repository, but several are included here. Those simulations are for nanoelectrospray of water with various applied electric potentials, droplet sizes, and liquid mass flowrates (file name indicates these values).

Excel spreadsheets shows data extracted from those simulations and analyzed within the thermodynamic framework discussed in "Thermodynamic Analysis of Nano-Electrospray Induced Gas Jets."
DOI: 10.5281/zenodo.14888009
title: Supplementary code to "Algebraic surfaces as Hadamard products of curves"

description: README

How to use the code?

This repository contains only Macaulay2 files. In order to use them, download the files in the same folder used by Macaulay2. If you want to use the functions and the results of the computation contained in the file sample.m2, you should use the command load "sample.m2".

What does this repository contain?



Hadamard_curves_P3.m2: a file containing a function that performs the Hadamard product of two curves L and R in 3-dimensional projective space defined by equations over the rationals. After loading this file, you can define the ideal I1 of L in the variables x0,...,x3, the ideal I2 of R in the variables y0,...,y3 and type X = preimage_phi(I1+I2) to get the ideal of L \star R in the variables z0,...,z3;

example_3_3.m2: a file containing the computation related to Example 3.3 of the paper;

lemma_3_8.m2: a file containing the computation related to Lemma 3.8 of the paper;

example_4_6.m2: a file containing the computation related to Example 4.6 of the paper.
DOI: 10.5281/zenodo.15013981
title: Supplementary code to "Algebraic surfaces as Hadamard products of curves"

description: README

How to use the code?

This repository contains Macaulay2 files and a Jupyter Notebook in Macaulay2.



In order to use the Jupyter Notebook: install Jupyter Notebook and add the Macaulay2 kernel, following the guide reported in the following GitHub page. Then, download the Jupyter Notebook file in the same folder used by Jupyter Notebook;

In order to use the Macaulay2 files: download the files in the same folder used by Macaulay2. If you want to use the functions and the results of the computation contained in the file sample.m2, you should use the command load "~/sample.m2".


What does this repository contain?



M2_Hadamard.ipynb: a Jupyter Notebook in Macaulay2 with all the computations related to the paper;

Hadamard_curves_P3.m2: a file containing a function that performs the Hadamard product of two curves L and R in 3-dimensional projective space defined by equations over the rationals. After loading this file, you can define the ideal I1 of L in the variables x0,...,x3, the ideal I2 of R in the variables y0,...,y3 and type X = preimage_Hadamard(I1+I2) to get the ideal of L \star R in the variables z0,...,z3;

example_3_3.m2: a file containing the computation related to Example 3.3 of the paper;

lemma_3_8.m2: a file containing the computation related to Lemma 3.8 of the paper;

example_4_6.m2: a file containing the computation related to Example 4.6 of the paper.
DOI: 10.17632/thkn8p22zy.1
title: Syndecan-1-mediated Loading of VEGF-A into Small Extracellular Vesicles Facilitates Peritubular Capillary Repair during AKI-to-CKD Transition

description: minimally processed files available of RNAseq data in Fig 3A
DOI: 10.5066/p9guti0g
title: Physical and Biological Monitoring Data Collected from Restored Wetland Units at Shiawassee National Wildlife Refuge, Saginaw, MI, USA (2019)

description: Data represent physical (water quality, water nutrient analysis) and biological (fish, macroinvertebrate, and vegetation community) collections from the Shiawassee National Wildlife Refuge in Saginaw, MI, USA (specifically, historical management unit &quot;Pool 1A&quot; and the North and South management units of the Maankiki Marsh Complex.) The North and South management units of the Maankiki Marsh Complex were reconnected to the Shiawassee River in 2018, whereas Pool 1A represents a historically reconnected wetland. Additional sites within the Shiawassee River and Spaulding Drain (east of Pool 1A) were also sampled to represent parameters collected from the parent water system. All data were collected in 2019.
DOI: 10.17632/7zshp2pmr2.1
title: Gambang Semarang

description: Gambang Semarang
DOI: 10.15468/dl.nu3kdp
title: Occurrence Download

description: A dataset containing 19203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "TaxonKey is Dasyprocta Illiger, 1811",
 "Year 1970-2025"
 ]
}

 The dataset includes 19203 records from 312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020706-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w2dkncgwjh.1
title: Wayang Orang

description: Wayang Orang
DOI: 10.17632/psznjg8gjm.1
title: Map of Tioman Island showing the location of 16 sampling sites at Juara, Tulai and Salang during sampling period on August 2024 in KML format

description: Map of Tioman Island showing the location of 16 sampling sites at Juara, Tulai and Salang during sampling period on August 2024 in KML format
DOI: 10.15468/dl.p7d82e
title: Occurrence Download

description: A dataset containing 33414738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 33414738 records from 4720 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020696-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stt6e3
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea ruprechtii Boiss."
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259911-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8udc2d
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Vanessa cardui (Linnaeus, 1758)"
 ]
}

 The dataset includes 1639 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069858-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfse4v
title: Occurrence Download

description: A dataset containing 103297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pratense L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103297 records from 615 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038737-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc5zw6
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alosimus decolor (Abeille de Perrin, 1880)"
 ]
}

 The dataset includes 81 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251832-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vawcwn
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium odontophyllum Freyn & Sint."
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245498-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25390/caryinstitute.25499848
title: Model data for factors limiting the potential range expansion of lodgepole pine in Interior Alaska

description: Data associated with: Walker, X.J., S. Hart, W.D. Hansen, M. Jean, C.D. Brown, F.S. Chapin, III, R. Hewitt, T.N. Hollingsworth, M.C. Mack, J.F. Johnstone. 2024. Factors limiting the potential range expansion of lodgepole pine in Interior Alaska. <i>Ecological Applications</i> e2983<i>.</i>Understanding the factors influencing species range limits is increasingly crucial in anticipating migrations due to human-caused climate change. In the boreal biome, ongoing climate change and the associated increases in the rate, size and severity of disturbances may alter the distributions of boreal tree species. Notably, Interior Alaska lacks native pine, a biogeographical anomaly that carries implications for ecosystem structure and function. The current range of lodgepole pine (Pinus contorta var. latifolia) in the adjacent Yukon Territory may expand into Interior Alaska, particularly with human assistance. Evaluating the potential for pine expansion in Alaska requires testing constraints on range limits such as dispersal limitations, environmental tolerance limits, and positive or negative biotic interactions. Here, we archive the model results from a multi-disciplinary study. In the study, we used field experiments with pine seeds and transplanted seedlings, complemented by model simulations, to assess the abiotic and biotic factors influencing lodgepole pine seedling establishment and growth after fire in Interior Alaska.<b>File list:</b>README_Hansen_EcolApps_2024.pdf: Contains data dictionaries for all data tables, full list of creators/authors, methodology, and additional project documentation.Stand_LP.csv: Stand level output for trees taller than 4 m from simulations that included lodgepole pine.Stand_No LP.csv: Stand level output for trees taller than 4 m from simulations that did not include lodgepole pine.Saplingdetail_LP.csv: Stand level output for trees shorter than 4 m from simulations that included lodgepole pine.Saplingdetail_NoLP.csv: Stand level output for trees shorter than 4 m from simulations that included lodgepole pine.Sapling_LP.csv: Stand level output recording sapling output in the simulations that included lodgepole pine.Sapling_noLP.csv: Stand level output recording sapling output in the simulations that did not include lodgepole pine.Tree_LP.csv: Individual tree output in the simulations that included lodgepole pine.Tree_noLP.csv: Individual tree output in the simulations that did not include lodgepole pine.carbon_LP.csv: Stand level carbon pools from the simulations that included lodgepole pine.carbon_noLP.csv: Stand level carbon pools from the simulations that did not include lodgepole pine.
DOI: 10.15468/dl.6n5mdq
title: Occurrence Download

description: A dataset containing 142459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pyrenaicum Burm.f.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142459 records from 827 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038740-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxxx33
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Geometry POLYGON((-68.62171 -52.9547,-68.62171 -54.97408,-65.6618 -54.97408,-68.62171 -52.9547))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycalopex culpaeus (Molina, 1782)",
 "Year 2019-2023"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259917-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25390/caryinstitute.25499848.v1
title: Model data for factors limiting the potential range expansion of lodgepole pine in Interior Alaska

description: Data associated with: Walker, X.J., S. Hart, W.D. Hansen, M. Jean, C.D. Brown, F.S. Chapin, III, R. Hewitt, T.N. Hollingsworth, M.C. Mack, J.F. Johnstone. 2024. Factors limiting the potential range expansion of lodgepole pine in Interior Alaska. <i>Ecological Applications</i> e2983<i>.</i>Understanding the factors influencing species range limits is increasingly crucial in anticipating migrations due to human-caused climate change. In the boreal biome, ongoing climate change and the associated increases in the rate, size and severity of disturbances may alter the distributions of boreal tree species. Notably, Interior Alaska lacks native pine, a biogeographical anomaly that carries implications for ecosystem structure and function. The current range of lodgepole pine (Pinus contorta var. latifolia) in the adjacent Yukon Territory may expand into Interior Alaska, particularly with human assistance. Evaluating the potential for pine expansion in Alaska requires testing constraints on range limits such as dispersal limitations, environmental tolerance limits, and positive or negative biotic interactions. Here, we archive the model results from a multi-disciplinary study. In the study, we used field experiments with pine seeds and transplanted seedlings, complemented by model simulations, to assess the abiotic and biotic factors influencing lodgepole pine seedling establishment and growth after fire in Interior Alaska.<b>File list:</b>README_Hansen_EcolApps_2024.pdf: Contains data dictionaries for all data tables, full list of creators/authors, methodology, and additional project documentation.Stand_LP.csv: Stand level output for trees taller than 4 m from simulations that included lodgepole pine.Stand_No LP.csv: Stand level output for trees taller than 4 m from simulations that did not include lodgepole pine.Saplingdetail_LP.csv: Stand level output for trees shorter than 4 m from simulations that included lodgepole pine.Saplingdetail_NoLP.csv: Stand level output for trees shorter than 4 m from simulations that included lodgepole pine.Sapling_LP.csv: Stand level output recording sapling output in the simulations that included lodgepole pine.Sapling_noLP.csv: Stand level output recording sapling output in the simulations that did not include lodgepole pine.Tree_LP.csv: Individual tree output in the simulations that included lodgepole pine.Tree_noLP.csv: Individual tree output in the simulations that did not include lodgepole pine.carbon_LP.csv: Stand level carbon pools from the simulations that included lodgepole pine.carbon_noLP.csv: Stand level carbon pools from the simulations that did not include lodgepole pine.