cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e143381v1
title: From Adolescence to Adulthood: Are America's Young Adults Flourishing?

description: This study extended Keyes (2006)
examination of positive mental health among U.S. adolescents to describe the
prevalence of flourishing mental health among these same individuals as young
adults ages 20 to 28. Our sample included 1,090 individuals from the 2011 Panel
Study of Income Dynamics Transition into Adulthood Supplement. Univariate and
bivariate tests were used to describe the prevalence of flourishing during
young adulthood and changes from adolescence to young adulthood. A
multivariable logistic regression was used to examine the relationships among
indicators of healthy development and flourishing. Results suggest that
positive mental health may improve during the transition into young adulthood
and that targeting malleable factors such as civic engagement that contribute
to healthy development may also enhance flourishing.
description: Young adults age 20 to 28.
description: Public use data collected as part of the Panel Study of Income Dynamics Child Development Supplement and Transition into Adulthood Supplement.
DOI: 10.15468/dl.qyv4aw
title: Occurrence Download

description: A dataset containing 3421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neelipleona",
 "Year is greater than or equal to 2000",
 "Continent is Europe"
 ]
}

 The dataset includes 3421 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001259-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf9m7m
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Themira biloba Andersson, 1975",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001260-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2yb97
title: Occurrence Download

description: A dataset containing 11583064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11583064 records from 1306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001236-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsm2sg
title: Occurrence Download

description: A dataset containing 3309 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bursera microphylla A.Gray"
 ]
}

 The dataset includes 3309 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011730-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9fjawc4
title: Salinas Valley Watershed Model: Application of Hydrologic Simulation Program-FORTRAN (HSPF)

description: This model archive contains the datasets, procedures, and necessary program code used to describe the Salinas Valley Watershed Model (SVWM). The SVWM simulates the daily historical water balance and hydrologic conditions for the Salinas Valley study area including the many un-gaged tributary subdrainages in the rugged and mountainous upland areas surrounding flat-lying valley lowlands coinciding with developed areas including croplands irrigated with groundwater. The SVWM simulates the natural hydrologic system for the entire Salinas Valley watershed and adjacent coastal basins, excluding anthropogenic components such as pumping, diversions, irrigation, and reservoir operations, for the 70 years beginning October 1, 1948, and ending September 30, 2022. The SVWM uses two modeling applications; the Hydrologic Simulation Program – Fortran (HSPF, version 12.4; EPA, 2000) to simulate the natural hydrologic system (Bicknell and others., 2005) and the Basin Characterization Model (BCM; Flint and others, 2021) to develop spatially distributed, historical climate inputs for HSPF. The HSPF application simulates the daily surface water and shallow subsurface water storage and flow processes, including interception storage and evaporation on vegetation, surface retention storage and evaporation, pervious land soil water storage and evapotranspiration, runoff from impervious and pervious land areas, streamflow, recharge from pervious land areas, and recharge from streamflow seepage. Climate inputs developed using the BCM are daily precipitation, daily maximum and minimum air temperature, and daily potential evapotranspiration (PET) (Hevesi and others, 2022). SVWM parameters were estimated using geospatial data and then adjusted by trial-and-error fitting of simulated daily streamflow to long-term records of observed streamflow at 29 USGS stream gages (USGS, 2016) and to estimated daily surface water inflows to Nacimiento and San Antonio Reservoirs (Henson and others, 2022a). The trial-and-error calibration provided a good match between simulated and observed daily, monthly, mean-monthly, and annual streamflow. The simulated output components from the SVWM include evapotranspiration, land area runoff (overland flow, interflow, baseflow), recharge, and groundwater recharge for the 690 HRUs, as well as streamflow and stream seepage losses for the 690 stream reaches connecting the HRUs.
DOI: 10.15468/dl.z5umua
title: Occurrence Download

description: A dataset containing 1587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crinum asiaticum L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1587 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002008-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vpxc3
title: Occurrence Download

description: A dataset containing 547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Hyparrhenia rufa (Nees) Stapf"
 ]
}

 The dataset includes 547 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002009-250227182400228/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.28518134.v1
title: Forum-Data

description: Political communication research over 18 years from 79 journals
DOI: 10.6084/m9.figshare.28518134
title: Forum-Data

description: Political communication research over 18 years from 79 journals
DOI: 10.15468/dl.z9zqz2
title: Occurrence Download

description: A dataset containing 19932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erodium malacoides (L.) L'Hér.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19932 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002050-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycdh5h
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Digitaria violascens Link)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 767 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13143053
title: Data from: A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

description: Data from:

Wrisberg, O, Petoe, P, de Lima Ferreira, P, Bacon, CD, Barfod, AS, Bellot, S, Cano, Á, Couvreur, TLP, Dransfield, J, Henderson, A, Stauffer, F, Baker, WJ, Eiserhardt, WL (in review) A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

This repository is meant to provide the most important data outputs produced by the Pipeline created for this project. The analysis pipeline is located on github (https://github.com/pebgroup/coryphoideae_species_tree). Raw data can be found on the NCBI Sequence Read Archive. 

The data folder is divided into the following subfolders:

01_unaligned_sequences_per_specimen

This folder contains the unaligned sequences for each specimen. The sequences are named after the specimen number.

02_unaligned_sequences_per_gene

This folder contains the unaligned sequences for each gene. The sequences are named after the gene name.

03_aligned_sequences_per_gene

This folder contains the sequences aligned by MAFFT for each gene. The sequences are named after the gene name.

04_gene_trees

This folder contains the gene trees for each gene. The trees are named after the gene name. The subfolder subset_single_copy_gene_trees contains copies of the gene trees for the single copy genes.

05_species_trees

This folder contains the species trees. The subfolder all_genes contains the species trees based on all genes, while the subfolder single_copy_genes contains only the species trees based on the single copy genes.

06_supporting_information

This folder contains a list which contains the associations between tip names and specimen numbers and a list of the single-copy genes.
DOI: 10.5281/zenodo.13143054
title: Data from: A densely sampled nuclear phylogenomic analysis of the fan palms (Arecaceae − Coryphoideae)

description: Data from:

Wrisberg, O, Petoe, P, Bacon, CD, Barfod, AS, Bellot, S, Cano, Á, Couvreur, TLP, Dransfield, J, de Lima Ferreira, P, Henderson, A, Stauffer, F, Baker, WJ, Eiserhardt, WL (in review) A densely sampled nuclear phylogenomic analysis of the fan palms (Arecaceae − Coryphoideae)

This repository is meant to provide the most important data outputs produced by the Pipeline created for this project. The analysis pipeline is located on github (https://github.com/pebgroup/coryphoideae_species_tree). Raw data can be found on the NCBI Sequence Read Archive. 

The data folder is divided into the following subfolders:

01_unaligned_sequences_per_specimen

This folder contains the unaligned sequences for each specimen. The sequences are named after the specimen number.

02_unaligned_sequences_per_gene

This folder contains the unaligned sequences for each gene. The sequences are named after the gene name.

03_aligned_sequences_per_gene

This folder contains the sequences aligned by MAFFT for each gene. The sequences are named after the gene name.

04_gene_trees

This folder contains the gene trees for each gene. The trees are named after the gene name. The subfolder subset_single_copy_gene_trees contains copies of the gene trees for the single copy genes.

05_species_trees

This folder contains the species trees. The subfolder all_genes contains the species trees based on all genes, while the subfolder single_copy_genes contains only the species trees based on the single copy genes.

06_supporting_information

This folder contains a list which contains the associations between tip names and specimen numbers. a list of the single-copy genes and a Taxon_sample_sheet which contains information about the sampled specimens and both the specimen numbers and tip names.
DOI: 10.5281/zenodo.14848666
title: Data from: A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

description: Data from:

Wrisberg, O, Petoe, P, Bacon, CD, Barfod, AS, Bellot, S, Cano, Á, Couvreur, TLP, Dransfield, J, de Lima Ferreira, P, Henderson, A, Stauffer, F, Baker, WJ, Eiserhardt, WL (in review) A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

This repository is meant to provide the most important data outputs produced by the Pipeline created for this project. The analysis pipeline is located on github (https://github.com/pebgroup/coryphoideae_species_tree). Raw data can be found on the NCBI Sequence Read Archive. 

The data folder is divided into the following subfolders:

01_unaligned_sequences_per_specimen

This folder contains the unaligned sequences for each specimen. The sequences are named after the specimen number.

02_unaligned_sequences_per_gene

This folder contains the unaligned sequences for each gene. The sequences are named after the gene name.

03_aligned_sequences_per_gene

This folder contains the sequences aligned by MAFFT for each gene. The sequences are named after the gene name.

04_gene_trees

This folder contains the gene trees for each gene. The trees are named after the gene name. The subfolder subset_single_copy_gene_trees contains copies of the gene trees for the single copy genes.

05_species_trees

This folder contains the species trees. The subfolder all_genes contains the species trees based on all genes, while the subfolder single_copy_genes contains only the species trees based on the single copy genes.

06_supporting_information

This folder contains a list which contains the associations between tip names and specimen numbers and a list of the single-copy genes.
DOI: 10.5281/zenodo.14950558
title: Data from: A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

description: Data from:

Wrisberg, O, Petoe, P, de Lima Ferreira, P, Bacon, CD, Barfod, AS, Bellot, S, Cano, Á, Couvreur, TLP, Dransfield, J, Henderson, A, Stauffer, F, Baker, WJ, Eiserhardt, WL (in review) A densely sampled nuclear phylogenomic analysis of the coryphoid palms (Arecaceae − Coryphoideae)

This repository is meant to provide the most important data outputs produced by the Pipeline created for this project. The analysis pipeline is located on github (https://github.com/pebgroup/coryphoideae_species_tree). Raw data can be found on the NCBI Sequence Read Archive. 

The data folder is divided into the following subfolders:

01_unaligned_sequences_per_specimen

This folder contains the unaligned sequences for each specimen. The sequences are named after the specimen number.

02_unaligned_sequences_per_gene

This folder contains the unaligned sequences for each gene. The sequences are named after the gene name.

03_aligned_sequences_per_gene

This folder contains the sequences aligned by MAFFT for each gene. The sequences are named after the gene name.

04_gene_trees

This folder contains the gene trees for each gene. The trees are named after the gene name. The subfolder subset_single_copy_gene_trees contains copies of the gene trees for the single copy genes.

05_species_trees

This folder contains the species trees. The subfolder all_genes contains the species trees based on all genes, while the subfolder single_copy_genes contains only the species trees based on the single copy genes.

06_supporting_information

This folder contains a list which contains the associations between tip names and specimen numbers and a list of the single-copy genes.
DOI: 10.3886/e221287
title: Bias Response Teams and Alternatives Study, 2021-2025

description: This study explores issues related to bias response and related campus climate initiatives in higher education (UNC Charlotte IRB #22-068). The overall goal of this project is to document complexities related to equity, inclusion, and free speech in bias response and related campus climate initiatives at colleges and universities through in-depth examination of the perspectives of administrators who serve on bias response teams or who otherwise respond to campus climate issues and/or bias as part of their job duties. This research project is led by Ryan Miller, Ph.D., faculty member at UNC Charlotte in the Department of Educational Leadership.<br><br>To understand how institutions are responding to external pressures to shape alternative approaches to bias response in a contentious political and legal environment, I conducted a multiple case study of four universities, positioning each institution as a case. I framed the case study as instrumental, as I focused more on what can be learned from each case and applied in other contexts rather than strictly limiting the investigation to the particulars of each case for their own intrinsic value. I approached this work from an interpretivist viewpoint, assuming that reality is multiplistic and socially constructed, a view well suited to examining a contentious topic such as administrative bias response work. A qualitative case study approach fit the project goals because I was interested in understanding campus approaches to bias response work in depth and because I relied on multiple data sources within each case—namely, interviews with administrators directly involved in bias response and related freedom of expression and diversity initiatives; public documents, such as bias response or similar websites; and internal documents shared with me by administrators, including committee reports, response protocols, and meeting minutes.<br><br>Identification of sites was heavily influenced by access to and willingness of institutions to participate. At many institutions, my invitations were declined or multiple administrators did not respond to my communication. Because of administrators’ reticence to speak with me, I built in multiple layers of confidentiality so that individual participants and institutions would not be identified.<br><br><br>
DOI: 10.3886/e221287v1
title: Bias Response Teams and Alternatives Study, 2021-2025

description: This study explores issues related to bias response and related campus climate initiatives in higher education (UNC Charlotte IRB #22-068). The overall goal of this project is to document complexities related to equity, inclusion, and free speech in bias response and related campus climate initiatives at colleges and universities through in-depth examination of the perspectives of administrators who serve on bias response teams or who otherwise respond to campus climate issues and/or bias as part of their job duties. This research project is led by Ryan Miller, Ph.D., faculty member at UNC Charlotte in the Department of Educational Leadership.<br><br>To understand how institutions are responding to external pressures to shape alternative approaches to bias response in a contentious political and legal environment, I conducted a multiple case study of four universities, positioning each institution as a case. I framed the case study as instrumental, as I focused more on what can be learned from each case and applied in other contexts rather than strictly limiting the investigation to the particulars of each case for their own intrinsic value. I approached this work from an interpretivist viewpoint, assuming that reality is multiplistic and socially constructed, a view well suited to examining a contentious topic such as administrative bias response work. A qualitative case study approach fit the project goals because I was interested in understanding campus approaches to bias response work in depth and because I relied on multiple data sources within each case—namely, interviews with administrators directly involved in bias response and related freedom of expression and diversity initiatives; public documents, such as bias response or similar websites; and internal documents shared with me by administrators, including committee reports, response protocols, and meeting minutes.<br><br>Identification of sites was heavily influenced by access to and willingness of institutions to participate. At many institutions, my invitations were declined or multiple administrators did not respond to my communication. Because of administrators’ reticence to speak with me, I built in multiple layers of confidentiality so that individual participants and institutions would not be identified.<br><br><br>
DOI: 10.15468/dl.vp3m4c
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Brachiaria (Trin.) Griseb."
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002013-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zaj632
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Cenchrus ciliaris L."
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dy79t
title: Occurrence Download

description: A dataset containing 12692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Tardigrada"
 ]
}

 The dataset includes 12692 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002052-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cru8yd
title: Occurrence Download

description: A dataset containing 50364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylarana latouchii (Boulenger, 1899)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 50364 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002045-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.av7crh
title: Occurrence Download

description: A dataset containing 104957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Berberis vulgaris L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 104957 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002007-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqs5uw
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batagur kachuga (Gray, 1831)"
 ]
}

 The dataset includes 63 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.