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

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sagittarius serpentarius (J.F.Miller, 1779)"
 ]
}

 The dataset includes 45 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009833-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ugsws
title: Occurrence Download

description: A dataset containing 10805 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasiurus borealis (Müller, 1776)"
 ]
}

 The dataset includes 10805 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005223-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.equfm8
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pennisetum purpureum Schumach."
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001757-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vep8qh
title: Occurrence Download

description: A dataset containing 7443547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7443547 records from 618 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015449-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4j7cp3
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.46755 45.30949,14.20182 45.30949,14.20182 45.60307,13.46755 45.60307,13.46755 45.30949))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Podarcis melisellensis (Braun, 1877)"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010696-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3mexj
title: Occurrence Download

description: A dataset containing 66786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Coordinate rounded",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)",
 "Year 2007-2023"
 ]
}

 The dataset includes 66786 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001745-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qcjrz
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "Geometry POLYGON((-124.59754 41.9504,-122.05213 42.01198,-120.94364 41.99145,-117.00236 41.9504,-117.02289 42.79203,-116.79708 44.24948,-117.06394 44.39317,-116.89972 44.66003,-116.38653 45.66588,-116.85867 45.97379,-117.02289 46.32276,-117.08447 47.0207,-117.02289 48.99134,-119.23458 49.07101,-122.79112 48.99134,-123.32484 48.39604,-123.57117 48.23182,-124.67965 48.43709,-125.04434 48.35794,-124.19602 46.24385,-124.76176 42.62781,-124.59754 41.9504))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Reynoutria japonica Houtt."
 ]
}

 The dataset includes 101 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011407-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arrmsf
title: Occurrence Download

description: A dataset containing 14001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cisticola marginatus (Heuglin, 1869)"
 ]
}

 The dataset includes 14001 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0395319-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywf6ht
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Lithuania",
 "TaxonKey is Acer negundo L.",
 "Year 2015-2023"
 ]
}

 The dataset includes 330 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011160-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axkg2r
title: Occurrence Download

description: A dataset containing 169183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus albacares (Bonnaterre, 1788)",
 "HasCoordinate is True"
 ]
}

 The dataset includes 169183 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015451-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxmzrd
title: Occurrence Download

description: A dataset containing 10606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.9787 35.24421,-117.6601 32.4787,-103.69429 32.98571,-102.40372 40.3143,-103.92475 48.88737,-124.30438 48.99983,-124.3434 40.59085,-120.9787 35.24421))",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia tridentata (Nutt.) W.A.Weber"
 ]
}

 The dataset includes 10606 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017936-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6gubq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Zanthoxylum zanthoxyloides (Lam.) Zepern. & Timler"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028205-240626123714530/datasets/export for details.
DOI: 10.25573/data.26321938
title: Genome assemblies of vermilion snapper

description: Genome assemblies as described in the paper about vermillion snapper genome by Adela Roa-Varon et al. In addition, a vsnapper_v1rv.fasta that has 20 contigs removed that included mitochondrial genes. This vsnapper_v1rv.fasta file was uploaded to Genbank.vsnapper_v1.fasta is the polished assemblyvsnapper_v1rv.fasta is the polished assembly that was uploaded to genbankThe other assemblies were additional assemblies that were screened during the genome assembly process and described in the accompanying publication.
DOI: 10.25573/data.26321938.v1
title: Genome assemblies of vermilion snapper

description: Genome assemblies as described in the paper about vermillion snapper genome by Adela Roa-Varon et al. In addition, a vsnapper_v1rv.fasta that has 20 contigs removed that included mitochondrial genes. This vsnapper_v1rv.fasta file was uploaded to Genbank.vsnapper_v1.fasta is the polished assemblyvsnapper_v1rv.fasta is the polished assembly that was uploaded to genbankThe other assemblies were additional assemblies that were screened during the genome assembly process and described in the accompanying publication.
DOI: 10.15468/dl.pnagj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonoidis denticulatus (Linnaeus, 1766)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028206-240626123714530/datasets/export for details.
DOI: 10.15468/dl.fz6s5h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chironius flavolineatus Jan, 1863"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028207-240626123714530/datasets/export for details.
DOI: 10.15468/dl.bu63rr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scaptotrigona postica (Latreille, 1807)",
 "Year 1973-2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028208-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6bqhb8
title: Occurrence Download

description: A dataset containing 346902 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pistacia L."
 ]
}

 The dataset includes 346902 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028181-240626123714530/datasets/export for details.
DOI: 10.15468/dl.f4mqyx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA",
 "OccurrenceStatus is Present",
 "TaxonKey is Tropidurus torquatus (Wied-Neuwied, 1820)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028209-240626123714530/datasets/export for details.
DOI: 10.15468/dl.h8wabu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trigonisca unidentata Albuquerque & Camargo, 2007",
 "Year 1970-2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028210-240626123714530/datasets/export for details.
DOI: 10.15468/dl.h8awfk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Enyalius leechii (Boulenger, 1885)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028212-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7qtgff
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Tapirus Brisson, 1762",
 "Country is Colombia",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028211-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5z7gbp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Tapirus Brisson, 1762",
 "Country is Brazil",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028213-240626123714530/datasets/export for details.
DOI: 10.15468/dl.mv9rsa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GenusKey is Tapirus Brisson, 1762",
 "Country is Peru",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028214-240626123714530/datasets/export for details.
DOI: 10.3886/e170541v3-155369
title: National Getis-Ord Gi* statistics for select populations; 1990-2019

description: Local Getis-Ord Gi* statistics were calculated as a measure of residential segregation. Measures were calculated at the census tract level based on the proportion of non-Hispanic White, non-Hispanic Black, non-Hispanic Asian [and Pacific Islander for 1990 and 2000 census], Hispanic, and immigrant persons (regardless of country of origin; 2008-2012 only) per census tract. Gi* statistics are Z-scores that compare the proportion of the population in the focal tract and its neighboring tracts to the average proportion of a larger geographic unit. For the majority of tracts, the larger geographic unit was the Core-Based Statistical Area (CBSA) these tracts belonged to. The county was used as the larger unit for tracts that fell outside the boundaries of a CBSA.<br><br>Data for the measures were obtained from the IPUMS National Historical Geographic Information System (NHGIS) data finder. Data were downloaded for the 1990 and 2000 census, and the 2006-2009, 2008-2012 (Immigrant segregation only), 2010-2014, and 2015-2019 5-year American Community Survey (ACS) estimates. Geographically standardized time series tables were used for 1990 and 2000 census data. All other ACS data were standardized to 2010 census tract boundaries.<br><br>G*statistics were calculated using both Rook and Queen conceptualization of spatial relationships. With Rook contiguity, neighbors are determined by those that share a common edge only, while Queen contiguity neighbors are those that share both an edge or a "corner" (common vertex). See detailed documentation for further details.<br>
description: Proportion of persons non-Hispanic White, non-Hispanic Black, non-Hispanic Asian and Pacific Islander, and Hispanic in 1990. <br>Proportion of persons non-Hispanic White, non-Hispanic Black, non-Hispanic Asian and Pacific Islander, and Hispanic in 2000. <br>Proportion of persons non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic; 2006-2009 5-year ACS estimates. <br>Proportion of persons non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic; 2010-2014 5-year ACS estimates.<br>Proportion of persons non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, and Hispanic; 2015-2019 5-year ACS estimates. <br>. Smallest Geographic Unit: Census tract
DOI: 10.5281/zenodo.12763590
title: Raw data of the study: Categorizing urban avoiders, utilizers, and dwellers for identifying bird conservation priorities in a northern Andean city

description: This datasheet contains raw data on bird count records made from 2016 and 2019. Data were taken in urban and adjacent non-urban areas of Medellín, Colombia. It was part of a collaborative sampling effort during environmental assessments and personal research, summarizing systematic information on 139 sampling points (124 within the city and 15 in adjacent non-urban areas). All points were sampled under the same protocol in order to facilited data for research; in all cases, sampling was in charge of ornithologist with at least 4 years of previous experience in bird surveys. This protocol consisted in sampling during 10 minutes, four times per point (i.e., repetitions), using a fixed radius of 25 m. 

Information on bird surveys (Count_Data within the corresponding datasheet tab) contains the ID of each site; whether corresponded to a urban or non-urban site; in what category of urban development the site was located, based on 1000, 500 and 200 m buffers (from the observer during bird counts: moderate, low or high); the taxonomic information of each species (order, family, scientific name); the number of recorded individuals;  the repetition or number of the visit (1, 2, 3, or 4); the name of the project; the name of the observer, and the date of sampling. 

Information on categorization of bird species (Categorization within the corresponding datasheet tab) represents additional information on altitudinal ranges, trophic guilds, distribution, and others. In addition, information on frequency for each bird species is given, according to the location of each sampling site and the way it was grouped. This information was the base for categorizing bird species as urban avoider, utilizer, or dweller, under the calculations and decision rules that are also given within the corresponding cells of the datasheet.

Any further information or questions about this data could be ask directly, writing to the e-mails: jgarizabal@unal.edu.co or njmacer@unal.edu.co.
DOI: 10.5281/zenodo.12763589
title: Raw data of the study: Categorizing urban avoiders, utilizers, and dwellers for identifying bird conservation priorities in a northern Andean city

description: This datasheet contains raw data on bird count records made from 2016 and 2019. Data were taken in urban and adjacent non-urban areas of Medellín, Colombia. It was part of a collaborative sampling effort during environmental assessments and personal research, summarizing systematic information on 139 sampling points (124 within the city and 15 in adjacent non-urban areas). All points were sampled under the same protocol in order to facilited data for research; in all cases, sampling was in charge of ornithologist with at least 4 years of previous experience in bird surveys. This protocol consisted in sampling during 10 minutes, four times per point (i.e., repetitions), using a fixed radius of 25 m. 

Information on bird surveys (Count_Data within the corresponding datasheet tab) contains the ID of each site; whether corresponded to a urban or non-urban site; in what category of urban development the site was located, based on 1000, 500 and 200 m buffers (from the observer during bird counts: moderate, low or high); the taxonomic information of each species (order, family, scientific name); the number of recorded individuals;  the repetition or number of the visit (1, 2, 3, or 4); the name of the project; the name of the observer, and the date of sampling. 

Information on categorization of bird species (Categorization within the corresponding datasheet tab) represents additional information on altitudinal ranges, trophic guilds, distribution, and others. In addition, information on frequency for each bird species is given, according to the location of each sampling site and the way it was grouped. This information was the base for categorizing bird species as urban avoider, utilizer, or dweller, under the calculations and decision rules that are also given within the corresponding cells of the datasheet.

Any further information or questions about this data could be ask directly, writing to the e-mails: jgarizabal@unal.edu.co or njmacer@unal.edu.co.
DOI: 10.25934/pr00004273.0
title: Available IPD datapackage for study 'Fluoxetine Versus Placebo in the Treatment of Children and Adolescents with Obsessive-Compulsive Disorder'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.25833305
title: Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings

description: Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods, which scale poorly as the number of studies, observations, or measured variables increase. To address this issue, we propose new variational inference algorithms to approximate the posterior distribution of Bayesian latent factor models using the multiplicative gamma process shrinkage prior. The proposed algorithms provide fast approximate inference at a fraction of the time and memory of MCMC-based implementations while maintaining comparable accuracy in characterizing the data covariance matrix. We conduct extensive simulations to evaluate our proposed algorithms and show their utility in estimating the model for high-dimensional multi-study gene expression data in ovarian cancers. Overall, our proposed approaches enable more efficient and scalable inference for factor models, facilitating their use in high-dimensional settings. An R package VIMSFA implementing our methods is available on GitHub (github.com/blhansen/VI-MSFA). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25833305.v1
title: Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings

description: Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods, which scale poorly as the number of studies, observations, or measured variables increase. To address this issue, we propose new variational inference algorithms to approximate the posterior distribution of Bayesian latent factor models using the multiplicative gamma process shrinkage prior. The proposed algorithms provide fast approximate inference at a fraction of the time and memory of MCMC-based implementations while maintaining comparable accuracy in characterizing the data covariance matrix. We conduct extensive simulations to evaluate our proposed algorithms and show their utility in estimating the model for high-dimensional multi-study gene expression data in ovarian cancers. Overall, our proposed approaches enable more efficient and scalable inference for factor models, facilitating their use in high-dimensional settings. An R package VIMSFA implementing our methods is available on GitHub (github.com/blhansen/VI-MSFA). Supplementary materials for this article are available online.