cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/3832
title: SUPERSEDED & WITHDRAWN - The Edinburgh International Accents of English Corpus

description: ## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7914 -The files from this item have been withdrawn due to a change in the license for their reuse, the correct license is also at https://doi.org/10.7488/ds/7848 ## English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% WER -- in contrast to the the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Jamaican, Indonesian, Nigerian, and Kenyan English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website under CC-BY-SA.
DOI: 10.7488/ds/7848
title: SUPERSEDED - The Edinburgh International Accents of English Corpus

description: ## This item has been replaced by the one which can be found at [https://doi.org/10.7488/ds/7914] ##English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% WER -- in contrast to the the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Jamaican, Indonesian, Nigerian, and Kenyan English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website under CC-BY-SA.
DOI: 10.15468/dl.r5a4qz
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyphoderma orphanellum (Bourdot & Galzin) Donk"
 ]
}

 The dataset includes 80 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017246-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3fc7d
title: Monthly summary_Bocas Station

description: Bocas del Toro Research StationData Summaries, Excel spread sheet. Provides daily, monthly and yearly summaries. Contains interval averages, maximum, minimum and variability statistics, plus graphsLocation: 9.351553°, -82.256565°Parameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, dissolved oxygen, turbidity, salinity, pHSensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes a meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Monthly_summary_Bocas_Station/10059464
DOI: 10.15468/dl.5685gb
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon obtusum Ruhland"
 ]
}

 The dataset includes 30 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030097-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9923955
title: Tech Support Conversations Dataset
DOI: 10.15468/dl.mx7jpv
title: Occurrence Download

description: A dataset containing 823013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-2024"
 ]
}

 The dataset includes 823013 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030074-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14199406
title: A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk

description: This repository contains code and data to reproduce results from the manuscript 'A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk'. 
description: Theory suggests that animals make hierarchical, multi-scale resource selection decisions to address the hierarchy of factors limiting their fitness. Ecologists have developed tools to link population-level resource selection across scales, yet theoretical expectations about the relationship between coarse- and fine-scale selection decisions at the individual-level remain elusive despite their importance to fitness. With GPS-telemetry data collected across California, USA, we evaluated resource selection of mountain lions (Puma concolor; n = 244) relative to spatial variation in human-caused mortality risk. With hierarchical resource selection, coarse-scale selection determines availability at finer scales. This simple relationship allowed us to demonstrate that functional responses in resource selection explicitly link individual-level resource selection decisions across scales. We show that individuals proactively avoiding risk when selecting home ranges are freed to relax this avoidance when making decisions within home ranges. However, individuals also exhibit reactive avoidance of risk at the finest scales along movement paths.
DOI: 10.5281/zenodo.14199407
title: A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk

description: This repository contains code and data to reproduce results from the manuscript 'A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk'. 
description: Theory suggests that animals make hierarchical, multi-scale resource selection decisions to address the hierarchy of factors limiting their fitness. Ecologists have developed tools to link population-level resource selection across scales, yet theoretical expectations about the relationship between coarse- and fine-scale selection decisions at the individual-level remain elusive despite their importance to fitness. With GPS-telemetry data collected across California, USA, we evaluated resource selection of mountain lions (Puma concolor; n = 244) relative to spatial variation in human-caused mortality risk. With hierarchical resource selection, coarse-scale selection determines availability at finer scales. This simple relationship allowed us to demonstrate that functional responses in resource selection explicitly link individual-level resource selection decisions across scales. We show that individuals proactively avoiding risk when selecting home ranges are freed to relax this avoidance when making decisions within home ranges. However, individuals also exhibit reactive avoidance of risk at the finest scales along movement paths.
DOI: 10.15468/dl.ga2dmv
title: Occurrence Download

description: A dataset containing 32810292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 32810292 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030096-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkf3pg
title: Occurrence Download

description: A dataset containing 9 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 one of (Baimashania pulvinata Al-Shehbaz)"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030099-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14209866
title: Data supporting research on journalistic production on science by press offices of universities and university centers in Rio Grande do Sul (2016)

description: These data are part of a final paper called Scientific Journalism in Community Higher Education Institutions in Rio Grande do Sul. The work was developed at the University of Vale do Taquari - Univates, between 2016 and 2017. The data is in Portuguese. The abstract of the paper is available below. Science occupies an important place in today's society. It is what has allowed us to reach our current stages of intellectual development and also to achieve memorable feats as a species. Science is produced, to a large extent, in the academic environment. This monograph focuses its efforts on trying to understand how 15 universities and university centers in the state of Rio Grande do Sul, partners in the Consortium of Community Universities of Rio Grande do Sul (Comung), carry out the dissemination of their academic production. It is understood that it is important to disseminate scientific information to the population so that individuals can critically evaluate the actions developed in the field of science. The general objective of this study is to investigate the production of scientific news in higher education institutions linked to Comung, as well as to characterize the relationships between the actors and processes related to the journalistic dissemination of science produced in these same institutions. The qualitative and quantitative analysis of the scientific dissemination texts was directed to the news published by the organizations, through an exploratory study that mapped all the production of the press offices between January and August 2016. Subsequently, a qualitative analysis of the discourse of press officers was carried out, after applying a questionnaire. Throughout the investigation, the hypothesis that the institutions disseminate their scientific production was confirmed, but they do so in markedly different ways. The study is available at this link: https://www.univates.br/bdu/items/4cdf0835-1fbe-425a-a216-2a511e9aabf8.
DOI: 10.5281/zenodo.14209867
title: Data supporting research on journalistic production on science by press offices of universities and university centers in Rio Grande do Sul (2016)

description: These data are part of a final paper called Scientific Journalism in Community Higher Education Institutions in Rio Grande do Sul. The work was developed at the University of Vale do Taquari - Univates, between 2016 and 2017. The data is in Portuguese. The abstract of the paper is available below. Science occupies an important place in today's society. It is what has allowed us to reach our current stages of intellectual development and also to achieve memorable feats as a species. Science is produced, to a large extent, in the academic environment. This monograph focuses its efforts on trying to understand how 15 universities and university centers in the state of Rio Grande do Sul, partners in the Consortium of Community Universities of Rio Grande do Sul (Comung), carry out the dissemination of their academic production. It is understood that it is important to disseminate scientific information to the population so that individuals can critically evaluate the actions developed in the field of science. The general objective of this study is to investigate the production of scientific news in higher education institutions linked to Comung, as well as to characterize the relationships between the actors and processes related to the journalistic dissemination of science produced in these same institutions. The qualitative and quantitative analysis of the scientific dissemination texts was directed to the news published by the organizations, through an exploratory study that mapped all the production of the press offices between January and August 2016. Subsequently, a qualitative analysis of the discourse of press officers was carried out, after applying a questionnaire. Throughout the investigation, the hypothesis that the institutions disseminate their scientific production was confirmed, but they do so in markedly different ways. The study is available at this link: https://www.univates.br/bdu/items/4cdf0835-1fbe-425a-a216-2a511e9aabf8.
DOI: 10.15468/dl.qq6e6x
title: Occurrence Download

description: A dataset containing 2 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 one of (Baimashania wangii Al-Shehbaz)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030102-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14209889
title: rhinatrema_nigrum_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14209890
title: rhinatrema_nigrum_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14209899
title: rhinella_marina_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14209900
title: rhinella_marina_decontaminated_FSCR.fasta.gz
DOI: 10.6084/m9.figshare.27895188.v1
title: Data supporting research on journalistic production on science by press offices of universities and university centers in Rio Grande do Sul (2016)

description: These data are part of a final paper called Scientific Journalism in Community Higher Education Institutions in Rio Grande do Sul. The work was developed at the University of Vale do Taquari - Univates, between 2016 and 2017. The data is in Portuguese. The abstract of the paper is available below. Science occupies an important place in today's society. It is what has allowed us to reach our current stages of intellectual development and also to achieve memorable feats as a species. Science is produced, to a large extent, in the academic environment. This monograph focuses its efforts on trying to understand how 15 universities and university centers in the state of Rio Grande do Sul, partners in the Consortium of Community Universities of Rio Grande do Sul (Comung), carry out the dissemination of their academic production. It is understood that it is important to disseminate scientific information to the population so that individuals can critically evaluate the actions developed in the field of science. The general objective of this study is to investigate the production of scientific news in higher education institutions linked to Comung, as well as to characterize the relationships between the actors and processes related to the journalistic dissemination of science produced in these same institutions. The qualitative and quantitative analysis of the scientific dissemination texts was directed to the news published by the organizations, through an exploratory study that mapped all the production of the press offices between January and August 2016. Subsequently, a qualitative analysis of the discourse of press officers was carried out, after applying a questionnaire. Throughout the investigation, the hypothesis that the institutions disseminate their scientific production was confirmed, but they do so in markedly different ways. The study is available at this link: https://www.univates.br/bdu/items/4cdf0835-1fbe-425a-a216-2a511e9aabf8.
DOI: 10.6084/m9.figshare.27895188
title: Data supporting research on journalistic production on science by press offices of universities and university centers in Rio Grande do Sul (2016)

description: These data are part of a final paper called Scientific Journalism in Community Higher Education Institutions in Rio Grande do Sul. The work was developed at the University of Vale do Taquari - Univates, between 2016 and 2017. The data is in Portuguese. The abstract of the paper is available below. Science occupies an important place in today's society. It is what has allowed us to reach our current stages of intellectual development and also to achieve memorable feats as a species. Science is produced, to a large extent, in the academic environment. This monograph focuses its efforts on trying to understand how 15 universities and university centers in the state of Rio Grande do Sul, partners in the Consortium of Community Universities of Rio Grande do Sul (Comung), carry out the dissemination of their academic production. It is understood that it is important to disseminate scientific information to the population so that individuals can critically evaluate the actions developed in the field of science. The general objective of this study is to investigate the production of scientific news in higher education institutions linked to Comung, as well as to characterize the relationships between the actors and processes related to the journalistic dissemination of science produced in these same institutions. The qualitative and quantitative analysis of the scientific dissemination texts was directed to the news published by the organizations, through an exploratory study that mapped all the production of the press offices between January and August 2016. Subsequently, a qualitative analysis of the discourse of press officers was carried out, after applying a questionnaire. Throughout the investigation, the hypothesis that the institutions disseminate their scientific production was confirmed, but they do so in markedly different ways. The study is available at this link: https://www.univates.br/bdu/items/4cdf0835-1fbe-425a-a216-2a511e9aabf8.
DOI: 10.15468/dl.4wk86k
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Caragana stenophylla Pojark."
 ]
}

 The dataset includes 164 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030104-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymfnmj
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((131.93925 -1.89733,134.29201 -1.89733,134.29201 -0.38297,131.93925 -0.38297,131.93925 -1.89733))",
 "Geometry POLYGON((131.56721 -0.43537,134.17149 -3.55317,135.36097 -2.60997,133.22711 0.62756,131.56721 -0.43537))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Melipotes gymnops P.L.Sclater, 1874"
 ]
}

 The dataset includes 885 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030105-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygwp2u
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((131.93925 -1.89733,134.29201 -1.89733,134.29201 -0.38297,131.93925 -0.38297,131.93925 -1.89733))",
 "Geometry POLYGON((131.56721 -0.43537,134.17149 -3.55317,135.36097 -2.60997,133.22711 0.62756,131.56721 -0.43537))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Melipotes gymnops P.L.Sclater, 1874"
 ]
}

 The dataset includes 885 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030106-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tn643
title: Occurrence Download

description: A dataset containing 6700575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apidae"
 ]
}

 The dataset includes 6700575 records from 3279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030101-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0204501.10fu
title: SH0204501.10FU

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.