cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive112416.20241212.9.2
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/bacdive112416.20251217.10
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/sh0104065.10fu
title: SH0104065.10FU

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/bacdive112417.20241212.9.2
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/bacdive112417.20251217.10
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/sh0104066.10fu
title: SH0104066.10FU

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/bacdive112418.20241212.9.2
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/bacdive112418.20251217.10
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/sh0104067.10fu
title: SH0104067.10FU

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/bacdive112419.20241212.9.2
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/bacdive112419.20251217.10
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/sh0104068.10fu
title: SH0104068.10FU

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/bacdive112420.20241212.9.2
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/sh0104069.10fu
title: SH0104069.10FU

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.j8d4g8
title: Occurrence Download

description: A dataset containing 21748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)"
 ]
}

 The dataset includes 21748 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019398-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15061201
title: The Diversity of Keystones Supplementary Material

description: THIS DATA PACKAGE ACCOMPANIES: The Diversity of Animals Identified as Keystone Species, I. Shukla, K.M. Gaynor, B. Worm, C.T Darimont

This data package contains the original dataset as well as R code used to generate figures and analysis.

############################################# CONTENTS #########################################



Shukla et al. README.txt -- This file, including a description of variables.

Diversity_of_keystones_suppList.csv -- A data file that includes the full list of author-identified keystone species

Diversity_of_keystones_index.csv -- A data file of each of the keystone traits indexed for a k-means clustering analysis

Keystone_diversity_code.R -- supplementary code of the descriptive statisics, k-means clustering analysis, and vizualization for keystone trait diversity


#################################################################################################

VARIABLE NAMES AND DESCRIPTIONS

FILE: Diversity of Keystones_suppList.csv

Latin name: Indicates species scientific name

Common name: Species common name

Order: Species Taxonomic Order

Title: Title of the publication from which the species was sourced

Authors: Condensed citation of the lead author(s)

Year: Year that the article was published

Journal: Journal that the article was published in. NA indicates a book

Community Response: The category of significant community change caused by keystone absence/ decreased presence

Additional community response: Additional community change indicated by the authors

Justification for keystoneness: Method that the authors used to justify a species keystone status

Detailed justification: subcategory of "Justification for keystoneness"

 

FILE: Diversity_of_keystones_index.csv

id: Indicates an individual data point

common_name: Species common name

class: Species taxonomic class. "1" <- "fish", "2" <- "herp", "3" <- "bird", "4" <- "mammal", "5" <- "arthropod", "6" <- "echinoderm", "7" <- "mollusc"

role: Functional role that the keystone species performs. "1" <- "consumer", "2" <- "prey", "3" <- "modifier"

trophic_simp: Simplified keystone species trophic level. "1" <- "low", "2" <- "mid", "3" <- "high"

log_mass <- Species average body mass, logged

#################################################################################################

ACKNOWLEDGEMENTS

This database was compiled by IS using published literature. IS was funded by a Raincoast Conservation Fellowship, and CTD by NSERC Discovery Grant 435683.
DOI: 10.5281/zenodo.15061202
title: The Diversity of Keystones Supplementary Material

description: THIS DATA PACKAGE ACCOMPANIES: The Diversity of Animals Identified as Keystone Species, I. Shukla, K.M. Gaynor, B. Worm, C.T Darimont

This data package contains the original dataset as well as R code used to generate figures and analysis.

############################################# CONTENTS #########################################



Shukla et al. README.txt -- This file, including a description of variables.

Diversity_of_keystones_suppList.csv -- A data file that includes the full list of author-identified keystone species

Diversity_of_keystones_index.csv -- A data file of each of the keystone traits indexed for a k-means clustering analysis

Keystone_diversity_code.R -- supplementary code of the descriptive statisics, k-means clustering analysis, and vizualization for keystone trait diversity


#################################################################################################

VARIABLE NAMES AND DESCRIPTIONS

FILE: Diversity of Keystones_suppList.csv

Latin name: Indicates species scientific name

Common name: Species common name

Order: Species Taxonomic Order

Title: Title of the publication from which the species was sourced

Authors: Condensed citation of the lead author(s)

Year: Year that the article was published

Journal: Journal that the article was published in. NA indicates a book

Community Response: The category of significant community change caused by keystone absence/ decreased presence

Additional community response: Additional community change indicated by the authors

Justification for keystoneness: Method that the authors used to justify a species keystone status

Detailed justification: subcategory of "Justification for keystoneness"

 

FILE: Diversity_of_keystones_index.csv

id: Indicates an individual data point

common_name: Species common name

class: Species taxonomic class. "1" <- "fish", "2" <- "herp", "3" <- "bird", "4" <- "mammal", "5" <- "arthropod", "6" <- "echinoderm", "7" <- "mollusc"

role: Functional role that the keystone species performs. "1" <- "consumer", "2" <- "prey", "3" <- "modifier"

trophic_simp: Simplified keystone species trophic level. "1" <- "low", "2" <- "mid", "3" <- "high"

log_mass <- Species average body mass, logged

#################################################################################################

ACKNOWLEDGEMENTS

This database was compiled by IS using published literature. IS was funded by a Raincoast Conservation Fellowship, and CTD by NSERC Discovery Grant 435683.
DOI: 10.15468/dl.mqzte9
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ostrocerca complexa (Claassen, 1937)"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019400-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfjahv
title: Occurrence Download

description: A dataset containing 6478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Faxonius rusticus (Girard, 1852))"
 ]
}

 The dataset includes 6478 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019401-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pxk55
title: Occurrence Download

description: A dataset containing 7638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenocephalides felis (Bouché, 1835)"
 ]
}

 The dataset includes 7638 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019402-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e223702
title: Regional Growth and Cultural Tourism Development Scenarios Associated with the Bears Ears National Monument Cultural Center

description: <b>Overview</b><br>The Jupyter notebook (Bears_Ears_Economic_Impact.pynb) includes all Python code to process data and create all figures reported in the manuscript. The code can also be accessed via Google Colab here (https://colab.research.google.com/drive/19QptKut-FHMs0OIG6N9O7_C9qr_pSZC8?usp=sharing). All code is heavily commented and should be interpretable.<br><br><b>Bureau of Labor Statistics Data and Analyses<br></b>All Bureau of Labor Statistics data were acquired from the agency’s Quarterly Census on Employment and Wages online data portal (https://www.bls.gov/cew/downloadable-data-files.htm). These data are provided in the ‘BLS.zip’ file. You can extract these data and place them in a local drive, access the files via the Python code provided, and proceed through the creation of the figures.<br><br><b>Economic Impact Data<br></b>Economic impact data, provided after the analyses for each scenario was run, are provided in both the ‘Economic_Impact_and_Tax_Revenues_Results.xlsx’ and ‘economic_indicators_data.csv’ files. The former is more interpretable for humans, the latter is called by the Python code provided to create the figures shown in the paper. The latter file will need to be placed in a local drive before executing the Python code which calls it.<br><br><b>Comments or Questions</b><br>Please direct any questions to Dr. Jordan W. Smith (jordan.smith@usu.edu).
DOI: 10.3886/e223702v1
title: Regional Growth and Cultural Tourism Development Scenarios Associated with the Bears Ears National Monument Cultural Center

description: <b>Overview</b><br>The Jupyter notebook (Bears_Ears_Economic_Impact.pynb) includes all Python code to process data and create all figures reported in the manuscript. The code can also be accessed via Google Colab here (https://colab.research.google.com/drive/19QptKut-FHMs0OIG6N9O7_C9qr_pSZC8?usp=sharing). All code is heavily commented and should be interpretable.<br><br><b>Bureau of Labor Statistics Data and Analyses<br></b>All Bureau of Labor Statistics data were acquired from the agency’s Quarterly Census on Employment and Wages online data portal (https://www.bls.gov/cew/downloadable-data-files.htm). These data are provided in the ‘BLS.zip’ file. You can extract these data and place them in a local drive, access the files via the Python code provided, and proceed through the creation of the figures.<br><br><b>Economic Impact Data<br></b>Economic impact data, provided after the analyses for each scenario was run, are provided in both the ‘Economic_Impact_and_Tax_Revenues_Results.xlsx’ and ‘economic_indicators_data.csv’ files. The former is more interpretable for humans, the latter is called by the Python code provided to create the figures shown in the paper. The latter file will need to be placed in a local drive before executing the Python code which calls it.<br><br><b>Comments or Questions</b><br>Please direct any questions to Dr. Jordan W. Smith (jordan.smith@usu.edu).
DOI: 10.15468/dl.jqat9z
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Hieraaetus fasciatus (Vieillot, 1822)",
 "Year 1975-2025"
 ]
}

 The dataset includes 79 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019404-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg5zyk
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptolyma maideni Froggatt, 1901",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 327 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019403-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywsz95
title: Occurrence Download

description: A dataset containing 70637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852))"
 ]
}

 The dataset includes 70637 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019379-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8azdjf
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Rhopalum coarctatum (Scopoli, 1763)"
 ]
}

 The dataset includes 136 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019406-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu6wy8
title: Occurrence Download

description: A dataset containing 20519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Enhydra lutris (Linnaeus, 1758)"
 ]
}

 The dataset includes 20519 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019405-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d5aq5
title: Occurrence Download

description: A dataset containing 9139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Faxonius virilis (Hagen, 1870))"
 ]
}

 The dataset includes 9139 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019407-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfdumh
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Netherlands, Poland, United Kingdom of Great Britain and Northern Ireland, Austria)",
 "TaxonKey is Spilomena troglodytes (Vander Linden, 1829)"
 ]
}

 The dataset includes 279 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019410-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8q6u9
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Poland, Switzerland, Netherlands, Austria)",
 "TaxonKey is Symmorphus debilitatus (de Saussure, 1856)"
 ]
}

 The dataset includes 578 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019412-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.werfg6
title: Occurrence Download

description: A dataset containing 7638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenocephalides felis (Bouché, 1835)"
 ]
}

 The dataset includes 7638 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019411-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q33952
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalanger Storr, 1780",
 "Year 1999-2025"
 ]
}

 The dataset includes 85 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019414-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eu6dr
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Ectemnius continuus (Fabricius, 1804)"
 ]
}

 The dataset includes 235 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019415-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.