cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1125806.10fu
title: SH1125806.10FU

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/sh1125809.10fu
title: SH1125809.10FU

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/sh1125811.10fu
title: SH1125811.10FU

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.e4kdgd
title: Occurrence Download

description: A dataset containing 1616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola verecunda A.Gray",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1616 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006218-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63srqt
title: Occurrence Download

description: A dataset containing 14161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Rubus chamaemorus L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 14161 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012939-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15181426
title: Replication Data for: Imaging the Meissner Effect and Flux Trapping of Superconductors under HighPressure using N-V Centers

description: Figure xx contains the data represented in the figures of the main text and supplementary information.
description: This work has received funding from the ANR with the ESR/EquipEx+ program (grant number ANR-21-ESRE-0031), from the SADAHPT program (grant number ANR-19-CE30-0027-01) and from the European Research Council within the ERC Advanced Grant “QPRESSE” (No. 101142682). JFR acknowledges support from the Institut Universitaire de France.
DOI: 10.5281/zenodo.15181427
title: Replication Data for: Imaging the Meissner Effect and Flux Trapping of Superconductors under HighPressure using N-V Centers

description: Figure xx contains the data represented in the figures of the main text and supplementary information.
description: This work has received funding from the ANR with the ESR/EquipEx+ program (grant number ANR-21-ESRE-0031), from the SADAHPT program (grant number ANR-19-CE30-0027-01) and from the European Research Council within the ERC Advanced Grant “QPRESSE” (No. 101142682). JFR acknowledges support from the Institut Universitaire de France.
DOI: 10.15468/dl.tkjs9q
title: Occurrence Download

description: A dataset containing 36782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus milvus (Linnaeus, 1758)",
 "Year 2023-2025"
 ]
}

 The dataset includes 36782 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012935-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35wve4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum cardenasii Hágsater"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193553-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghlexc
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus longaeva D.K.Bailey"
 ]
}

 The dataset includes 550 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3gxu7
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hechtia lyman-smithii Burt-Utley & Utley"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003581-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yanb1u
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrocynus vittatus Castelnau, 1861"
 ]
}

 The dataset includes 724 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrec4d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum carautaense Hágsater & L.Sánchez"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193549-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jjfxd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum caparaoense W.Forst. & V.C.Souza"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193539-230224095556074/datasets/export for details.
DOI: 10.15468/dl.eal9s4
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spatoglossum variabile Figari & De Notaris, 1853"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2gq76
title: Occurrence Download

description: A dataset containing 1169341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Turdus iliacus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1169341 records from 1444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003567-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkfuag
title: Occurrence Download

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "License is CC0 1.0",
 "MediaType is one of (Video, Image)",
 "TaxonKey is Scolopax rusticola Linnaeus, 1758"
 ]
}

 The dataset includes 806 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193573-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ymboi
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puya roezlii É.Morren"
 ]
}

 The dataset includes 33 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uugrpv
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9949.0",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brahea dulcis (Kunth) Mart."
 ]
}

 The dataset includes 623 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023475-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udb1pb
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ferula communis L.",
 {
 "or" : [
 "Country is Serbia",
 "Country is Italy",
 "Country is Greece",
 "Country is France"
 ]
 }
 ]
}

 The dataset includes 989 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000456-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gdpae
title: Occurrence Download

description: A dataset containing 21795469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21795469 records from 4981 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003568-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xilzh
title: Occurrence Download

description: A dataset containing 14047433 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 14047433 records from 2341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029038-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive110786.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110787.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102499.10fu
title: SH0102499.10FU

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: 10.13145/bacdive110787.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110788.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102500.10fu
title: SH0102500.10FU

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: 10.13145/bacdive110788.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110789.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110789.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110790.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110790.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.17225324
title: Investing in Influence: Investors, portfolio firms, and political giving

description: This package contains the replication file, which includes data sets obtained from public databases, for the paper titled "Investing in Influence: Investors, Portfolio Firms, and Political Giving." Additionally, we provide information on other purchasable databases necessary for replicating the results of this study.

The subfolder "Part1_DataCleaning" contains the codes and public data sets required to construct the data sets that are needed for the empirical analysis. The subsequent subfolder, "Part2_DataAnalysis," includes the codes used to generate the empirical results presented in the paper. A readme file is included to provide further details, along with comments within the codes and various folders for enhanced clarity. We also include the list of data sets that need to be purchased in order to be able to run the codes in the subfolder "Part1_DataCleaning". 

Most of the codes were executed using SAS, Stata, WRDS SAS Studio, and Python. Due to the computational complexity involved and the large size of data sets utilised in the study, the majority of the codes were executed on servers equipped with at least 512 GB of RAM and at least 1.5 terabytes of free space.
DOI: 10.5281/zenodo.17225325
title: Investing in Influence: Investors, portfolio firms, and political giving

description: This package contains the replication file, which includes data sets obtained from public databases, for the paper titled "Investing in Influence: Investors, Portfolio Firms, and Political Giving." Additionally, we provide information on other purchasable databases necessary for replicating the results of this study.

The subfolder "Part1_DataCleaning" contains the codes and public data sets required to construct the data sets that are needed for the empirical analysis. The subsequent subfolder, "Part2_DataAnalysis," includes the codes used to generate the empirical results presented in the paper. A readme file is included to provide further details, along with comments within the codes and various folders for enhanced clarity. We also include the list of data sets that need to be purchased in order to be able to run the codes in the subfolder "Part1_DataCleaning". 

Most of the codes were executed using SAS, Stata, WRDS SAS Studio, and Python. Due to the computational complexity involved and the large size of data sets utilised in the study, the majority of the codes were executed on servers equipped with at least 512 GB of RAM and at least 1.5 terabytes of free space.
DOI: 10.13145/bacdive110791.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110791.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102501.10fu
title: SH0102501.10FU

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: 10.13145/bacdive110792.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110792.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0102502.10fu
title: SH0102502.10FU

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.